Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

About Us At Rox , we believe in empowering people to do their best work. Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work. We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle. Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition. Underlying all of this success is a unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality. The Team Nothing is possible without the world-class team, assembled to redefine how businesses operate. Members on our team have: Founded and exited successful companies Held the highest positions at Google, AWS, Confluent, and New Relic Won IMO and IOI gold medals Published field-defining papers We’re backed by the best, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré. Core Principles Taste: Craft beautiful experiences. No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers. Obsession: Commit unreasonably. In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day. Action: Get it done. Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed. Role As a Data Scientist at Rox, you will power the intelligence layer behind the world’s first revenue operating system. You’ll be responsible for the metrics, insights, and analytical frameworks that shape how we build product, operate as a business, and help our customers transform their revenue organizations. This is a high-ownership, high-leverage role for someone who thrives at the intersection of data, GTM, product strategy, and operational excellence. You will work directly with leadership, engineering, and GTM pods to create clarity, drive decisions, and build the analytical foundations that scale with the company. If you love turning ambiguity into structured insight, building clean data models, and influencing business strategy with evidence, this is the role for you. Responsibilities Build and maintain dashboards, KPIs, and the company-wide single source of truth for revenue, usage, and customer telemetry. Partner with GTM leaders to drive segmentation, funnel insights, measurement of workflow adoption and ROI. Ensure high-quality data foundations through dbt-style modeling, data consistency, instrumentation, and proactive improvement of data pipelines and reporting. Run deep product and usage analytics—including experimentation frameworks—to inform product development, activation, retention, and enterprise rollout success. Deliver strategic analyses and executive-ready insights to support leadership, board materials, and new revenue motions. Create scalable documentation, metric dictionaries, automations, and enablement materials while onboarding teams into Rox’s data ecosystem. Qualifications Required Degree in a quantitative field (e.g., Mathematics, Economics, Computer Science, Engineering, Statistics) 2–5+ years experience in fast-paced, high-growth companies supporting Sales, Finance, or Product Strong SQL and Python skills, able to work efficiently with large, messy datasets Experience working with dbt ecosystems (e.g, paradime, dbt) Experience building dashboards in tools like Sigma, Looker, Tableau, Mode, or equivalent Exceptional analytical rigor and structured problem-solving skills Strong communication skills, able to translate complex data into simple narratives for executives High energy, “no job is too small” mentality, and ability to operate with extreme ownership Ability to context-switch rapidly and thrive in an environment of speed, ambiguity, and high expectations Located in or willing to relocate to San Francisco Preferred Experience working directly with GTM organizations and leadership teams Knowledge of revenue methodologies, KPIs, and operational models Familiarity with data warehousing technologies Experience designing semantic layers and metric governance processes Ability to build minimal data apps, Python scripts, or automations to scale workflows Experience supporting enterprise customers or working with B2B SaaS telemetry datasets Comfort presenting analytical findings to C-suite or enterprise stakeholders Strong intuition for business levers, product adoption mechanics, and experimentation Benefits Competitive pay with considerable equity upside Health Insurance Apply To apply, please fill out the application form. 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Description At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting-edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production-grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top-line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives. You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI. Key Responsibilities: Design and deploy ML systems that solve high-impact business problems for critical workflows. Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling. Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine-tuning, vector databases, RAG) through rapid prototyping. Partner with AI researchers and data scientists to translate experimental models into production-ready systems, supporting scaling and generalizability across business domains. Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization. Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards. Collaborate with cross-functional leaders in engineering, product, and business teams to embed ML-driven decision-making into core processes and workflows. Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing. Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards. Design ML-driven pricing models for fixed income securities, derivatives, and structured products. Mentor other ML engineers and data scientists, fostering technical excellence and a culture of innovation and collaboration. Requirements 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform-scale settings. Proven track record of leading ML projects from ideation to production, including cross-functional collaboration and technical ownership. Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling. Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus. Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit-learn, JAX, Ray, MLflow). Hands-on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility). Strong understanding of cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar). Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions. Strong foundation in fixed income analytics, derivatives pricing, and risk management. Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards. Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline preferred. Preferred, but not required: Hands-on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) - including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem. CFA or FRM certification Benefits Position Location This is a hybrid position based out of our New York, NY office. Compensation The base pay for this position is $240,000-285,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

About This Role: The Senior Manager, Data Science Lead will play a pivotal role in Biogen’s Data Science team, driving the development of advanced modeling solutions that deliver automation and decision enablement for Biogen North America. This position will be responsible for building high-impact data science solutions, including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies. As a hands-on contributor, you will collaborate with cross-functional teams to ensure that data science outputs are actionable, accurate, scalable, and aligned with brand priorities. You’ll serve as a thought partner to commercial leadership, championing the use of data and AI to deliver measurable business value. You will contribute towards building robust techniques, applying model factories, and shaping the design of products and their applications to business objectives. What You’ll Do: Execute flawlessly the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps, commercial priorities, and emerging AI/ML trends. Contribute to the end-to-end development, deployment, and scaling of data science solutions, including predictive models, clustering, segmentation, optimization, and advanced natural language processing (NLP) and large language models (LLMs), to address complex commercial challenges. Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms. Be open to feedback from adopters on the quality of outputs and build corrective model fine-tuning and performance continuously. Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks. Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows. Provide technical expertise and thought leadership on the development of analytical tools and reusable frameworks. Promote analytical rigor, responsible experimentation, and model governance best practices across the analytics organization. Collaborate with a high-performing team of data scientists that encourages learning and experimentation. Collaborate with IT to develop ML Ops environments and deliver productized solutions. Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness. Develop and scale Patient 360 models and predictive targeting algorithms for AI-driven lead generation and patient outreach. Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation. Manage relationships with external analytics partners, ensuring alignment with internal data engineering and compliance teams. Who You Are: You are a data scientist with strong subject matter expertise in Gen AI, supervised and unsupervised machine learning algorithms, and model validation. You have hands-on experience in pharma functional areas of data science such as patient finding, patient journey, and marketing optimization. With an innovative and futuristic mindset, you apply data science and AI to commercial and medical use cases effectively. Your ability to communicate and influence, combined with a deep understanding of data science principles, makes you an ideal partner to our teams. Required Skills: Minimum 5 years of hands-on analytics or data science experience, including at least 4 years leading data science projects or teams. Bachelor's degree in a quantitative field a must. Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting. Experience in marketing mix, portfolio optimization, and Gen AI product design. Experience deploying data science solutions in a commercial setting, ideally within pharma, biotech, or healthcare. Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools. Proven track record of designing and implementing Next Best Action strategies, marketing optimization models, and omnichannel analytics. Experience working with APLD, PlanTrak, specialty pharmacy, or claims datasets. Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams. Preferred Skills: Master’s degree in data science, Statistics, Engineering, Computer Job Level: Management Additional Information The base compensation range for this role is: $142,000.00-$190,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance. In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being ; including, but not limited to: Medical, Dental, Vision, & Life insurances Fitness & Wellness programs including a fitness reimbursement Short- and Long-Term Disability insurance A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31) Up to 12 company paid holidays + 3 paid days off for Personal Significance 80 hours of sick time per calendar year Paid Maternity and Parental Leave benefit 401(k) program participation with company matched contributions Employee stock purchase plan Tuition reimbursement of up to $10,000 per calendar year Employee Resource Groups participation Why Biogen? We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives. At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts. All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity As a dedicated Intermediate Decision Science Analyst II – Life Company Data and Analytics , you will contribute to Life Company’s growth by supporting end-to-end analytics. This role will focus on our Life Insurance Product, helping uncover strategic insights to improve the sales funnel, underwriting, and nurturing experience for our members. You'll work closely with experienced team members, leverage your analytical skills, and assist in translating data into understandable recommendations. This is a great opportunity to grow your skills in analytics and help shape how we better protect more members with Life Insurance. This role is responsible to provide decision support for business areas across the association. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based on the San Antonio, TX; Colorado Springs, CO; or Plano, TX. campus . Relocation assistance is not available for this position. What you'll do: Leverages intermediate business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies. Applies advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy. Applies scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. Translates recommendation into communication materials to effectively present to colleagues for peer review and senior/lead analysts. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. Supports identifying and gathering the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements. Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. (Total of 6 years of experience without bachelor’s degree) 2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline. Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making. Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. What sets you apart: US military experience through military service or a military spouse/domestic partner 2 or more years of experience with SQL 2 or more years of experience with Python for data analysis 2 or more years of experience with Intermediate Statistics 2 or more years of experience with Data Visualization 1 or more years of working experience (including internships) in a data/analytics role Compensation range: The salary range for this position is: $77,120 - $147,390 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? Join us in shaping a more just world. About Us : LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. About the Role : As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities : Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements : Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience : PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 7-10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you : We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us : LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:- Comprehensive, multi-carrier health plan benefits- Disability insurance- Dependent care and commuter spending accounts- Life and accident insurance- Retirement benefits (salary investment plan/employer stock purchase plan)- Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. {Empty} U.S. National Base Pay Range: $113,100 - $188,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE) , Neuroscience The primary location for this position is flexible – Titusville , NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing i nnovative evidence solutions and critical insights through diverse data sources including RWD , trial data and emerging innovative data sources to support clinical programs and regulatory submissions . This role will drive strategic collaborations, champion innovation, and elevate evidence development capabilities in Neuroscience . The successful candidate will lead a multidisciplinary team and manage internal and external partnerships , including collaborations with in the R&D Data Science & Digital Health team s and across the R&D stakeholders , to deliver impactful evidence to enhance R&D success and patient impact . Other key responsibilities are as follows: Lead and mentor a high-performing team of RWE scientists to deliver end-to-end evidence generation—from data feasibility and study design to analysis and presentation. Shape and execute strategic RWE initiatives in neuroscience, aligning with R&D priorities. Drive internal and external partnerships to conceptualize and deliver advanced insights and evidence solutions. Develop shared tools and best practices to foster a scalable, data-driven culture. Provide thought leadership in advanced methodologies (e.g., comparative effectiveness, external control arms, Bayesian method ). Advance capabilities in integrating multi-modal data to support precision medicine approaches. Required qualifications: Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of statistical methods to mitigate bias and confounding . Experience with diverse data sources (EHR, claims, registries, trial data, digital health) . Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. A dditional valued qualifications : Deep n euroscience d omain e xpertise : in-depth knowledge of neurodegenerative , neuropsychiatric and ophthalmic diseases , clinical development , a nd trial design challenges Expertise in wearables & digital health technologies : de veloping and validat ing digital biomarkers , integrating wearables into clinical trials , designing clinical trials with decentralized elements Expe rience in multi - omics including designing and interpreting large-scale proteomic studies , analyzing data from large biobanks to identify causal drivers and clinical relevancy Experience integrating multi-modal data for holistic disease understanding and patient subtyping Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health – Therapeutics Discovery This position has a primary location of Spring House, PA and is also open to Cambridge, MA. Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science – DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Overview We are seeking a Senior Director to lead our Data Science and engineering strategy for our R&D Therapeutics Discovery (TD) organization. This role will partner closely with TD leadership, data scientists embedded in the TD teams, and our IT partners to streamline Discovery data automation, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio. You will shape how discovery data is captured, integrated, and leveraged to accelerate decision-making and innovation. This position requires a visionary leader who can align TD’s data strategy while ensuring interoperability with other departments such as Preclinical Sciences & Translational Safety (PSTS), Therapeutics Development & Supply (TDS), and all our Therapeutic Areas. Key Responsibilities Develop and execute a comprehensive data strategy for TD, focusing on advanced automation, data integration, and FAIR data practices; in close alignment with TD and IT. Lead the design and implementation of scalable data pipelines to support discovery workflows. Partner with TD leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for TD. Co-Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization. Lead a core team of data scientists and engineers to support TD in reaching its strategic goals. Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit TD’s business objectives. Collaborate with TD teams (such as: In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce data and technology innovation standards. Works with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in Therapeutic Discovery (for example: experiment design, molecule design, lab process automation, etc.) Qualifications PhD or equivalent experience in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics or related field. 12+ years in data science for drug discovery, with experience leading teams in a matrix setting. Proven expertise in creating high impact R&D innovations through data science, data engineering, and automation within scientific domains. Strong experience leading the application/creation of ML/AI methods while demonstrating a deep understanding of drug discovery workflows. Demonstrated success in delivering interoperable data products and scalable analytics platforms. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Leadership Attributes Strategic Vision: Ability to anticipate future trends in data science and drug discovery and translate them into actionable strategies. Collaborative Influence: Skilled at building consensus and driving alignment across diverse scientific and technical teams. Innovation Mindset: Passion for leveraging emerging technologies to solve complex scientific challenges. Talent Development: Commitment to mentoring and growing a high-performing team of data scientists and engineers. Communication Excellence: Ability to articulate complex technical concepts to non-technical stakeholders and executive leadership. Ready to make an impact? Join us in shaping the future of Therapeutic Discovery at Johnson & Johnson! Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking The anticipated base pay range for this position is : $196,000.00 - $342,700.00 Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).This position is eligible to participate in the Company’s long-term incentive program.Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:Vacation –120 hours per calendar yearSick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar yearHoliday pay, including Floating Holidays –13 days per calendar yearWork, Personal and Family Time - up to 40 hours per calendar yearParental Leave – 480 hours within one year of the birth/adoption/foster care of a childBereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar yearCaregiver Leave – 80 hours in a 52-week rolling period10 daysVolunteer Leave – 32 hours per calendar yearMilitary Spouse Time-Off – 80 hours per calendar yearhe following link to general company benefits information MUST also be included in the posting: Please use the following language:For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

We are PMG Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You’ll Be Working With At PMG, our Data Science team is at the core of transforming complex data into strategic insights that drive smarter marketing, media, and business decisions. We don’t just analyze numbers—we build predictive models, develop automation, and refine AI-driven solutions that help brands optimize performance, personalize experiences, and maximize impact across digital channels. You’ll collaborate with engineers, analysts, media strategists, and product teams, applying advanced data science techniques to enhance targeting, improve measurement, and develop next-generation marketing intelligence. Whether it’s training machine learning models, engineering scalable data pipelines, fine-tuning optimization algorithms, or advancing AI-driven marketing strategies, your expertise will help brands connect with the right audiences, at the right time, with the right message—more efficiently than ever before. Beyond execution, you’ll play a key role in exploring emerging AI technologies, refining data science methodologies, and shaping the future of predictive analytics and automation. You’ll have opportunities to test new approaches to measurement, integrate deep learning into decision-making processes, and experiment with AI-powered media solutions that redefine what’s possible in digital marketing. At PMG, we don’t just respond to industry trends—we set them, ensuring our clients stay ahead in a rapidly evolving, data-driven world. As Head of Data Science, you'll have the opportunity to tackle complex challenges, lead AI-driven innovation, and turn analytics into meaningful business and marketing outcomes. What You Will Do Develops and champions the long-term (3-5 year) strategic vision and execution roadmap for a broad data science organization, ensuring alignment with PMG’s overarching business strategy and market leadership goals. Leads and mentors a team of Data Science Directors and/or Senior Managers, fostering a culture of high performance, strategic thinking, innovation, and impactful leadership across multiple teams. Accountable for the P&L or substantial budget of a large data science practice, driving revenue growth, cost efficiencies, and measurable ROI from AI/ML initiatives. Directs the incubation, scaling, and enterprise-wide adoption of cutting-edge AI/ML capabilities (e.g., federated learning, large-scale reinforcement learning, advanced knowledge graphs) that create significant competitive differentiation. Serves as a primary advisor to C-suite executives on AI/ML strategy, investment, and risk, translating complex technological possibilities into clear business implications and strategic opportunities. Builds and cultivates C-level relationships with key clients and strategic partners, acting as an executive sponsor for critical data science engagements and driving new business at a strategic level. Establishes and governs enterprise-level policies for AI ethics, data governance, model risk management, and regulatory compliance, ensuring responsible and secure AI deployment at scale. Represents PMG's AI/ML thought leadership and capabilities at premier industry events, in influential publications, and with key industry analysts, shaping market perceptions and attracting top talent. Drives organizational design, talent strategy, and succession planning for a significant segment of the data science function, ensuring a robust pipeline of future leaders and technical experts. Oversees the most critical and complex AI/ML programs, ensuring they deliver transformative business outcomes and set new standards for excellence in execution. Stay current with emerging data science–focused Python libraries and apply them effectively to develop models and business-impactful solutions. What You Will Bring: 20+ years of experience in data science, including 10+ years of leadership experience, with a bachelor’s degree or equivalent work experience. Proven ability to lead and scale data science programs across complex organizations, translating strategic objectives into high-impact analytical initiatives. Deep expertise in machine learning, causal inference, and statistical modeling using Python, R, and advanced analytics frameworks. Strong fluency in experimentation design, forecasting, and measurement strategies to guide product and business decision-making. Skilled in collaborating with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines. Track record of influencing executive stakeholders through clear communication, analytical storytelling, and evidence-based insights. Experienced in building inclusive, high-performing teams, and mentoring data science leaders to foster innovation, growth, and consistency. A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value. A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel. What We Offer Professional Development : Take advantage of our learning and development programs, mentorship opportunities, and career advancement support. Generous Time Off : Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones. Parental Leave : We provide paid parental leave to support your family during important life events. Retirement & Pension Plans : Plan for your future with competitive retirement or pension programs, including contribution matching. Fertility and Family Support : Access fertility benefits for all team members and their spouses. Healthcare : Coverage and support for everyday medical expenses and routine care, tailored by geography. Pet Insurance : Protect your pet's health and your finances. Lifestyle Spending Accounts : Enjoy 100% company-funded accounts to promote healthy habits and well-being. Commuter Benefits : Access support for travel and commuting needs, where available. Annual Bonus : All employees are eligible for an annual bonus. Volunteering Opportunities : Receive 8 give-back hours to volunteer in your local communities. AI Enterprise License : Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. This role is based in the Innovation Accelerator (IA) team, the innovation engine and connective tissue for Design, Data and Data Science innovation strategy within Product Development Data Sciences (PDD). We translate our long-term PDD vision into actionable strategy, shaping and prioritizing innovative cross-functional use cases that span PDD, PD, and Pharma. As both integrators and incubators, we explore, prototype, and help productize solutions to deliver impact in close partnership with internal Roche teams and external collaborators. With a mindset rooted in openness, value creation, and adaptability, we navigate the innovation ecosystem to drive transformative impact and future readiness across the organization. The Opportunity: The Head of Innovation Accelerator Data Science is responsible for driving technical excellence across design, data and data science innovation programs for Roche Product Development. This role combines deep subject matter expertise in data science and software development with people leadership and portfolio oversight. The Head of IA Data Science ensures strong technical execution, guides architectural decisions, and aligns technical capacity with strategic goals. As a direct report to the Function Head, this position plays a critical role in shaping the innovation roadmap, scaling capabilities, and growing high-performing technical teams. You provide technical leadership across early exploration and productization phases of innovation projects, ensuring alignment with departmental goals and enterprise direction You act as subject matter expert and single point of escalation/problem resolution for applied data science and software engineering within the innovation portfolio You influence PDD data, design and data science (3D) strategy and in-silico strategy & roadmap(s) through strategic technical leadership/expertise You make architectural decisions independently and ensure adherence to best practices for scalability, performance, reliability, and compliance You oversee execution quality, technical risk management, and project velocity across multiple high-impact workstreams and domains You establish and enforce technical standards, enabling reuse, modularity, and robust design across solution development You lead technical capacity planning and resource deployment within the team, prioritizing based on departmental strategy and portfolio needs You collaborate with cross-functional and enterprise partners to translate innovation opportunities into feasible, impactful, and technically sound solutions You drive the Innovation Accelerator portfolio through contribution to governance, resource planning, and progress reviews You identify and integrate new technologies and platforms, applying functional expertise and organizational context to maximize department performance You ensure traceability, reproducibility, and risk mitigation through robust documentation and engineering practices across all technical deliveries You manage a multidisciplinary team of specialists and junior leaders (e.g., data scientists, software engineers), ensuring accountability for delivery, performance, and development You oversee hiring, onboarding, workforce planning, and succession management aligned to departmental capabilities and strategic growth areas You coach and mentor team members to enhance their individual performance and long-term potential, developing future technical leaders across roles and backgrounds You foster a high-performance, inclusive culture focused on collaboration, ownership, and continuous improvement You set development goals, conduct performance evaluations, and guide career progression based on business priorities and professional aspirations You manage team deployment and resource allocation across a complex portfolio of innovation projects, balancing individual growth with business needs You execute short-term department plans by managing priorities, budget, and capacity in coordination with function leadership You influence senior stakeholders and functional leadership to secure alignment, resources, and sponsorship for technical priorities Who you are: You have an advanced degree (Master’s or PhD) in Computer Science, Data Science, Statistics, Engineering, or a related technical field You have 15+ years of hands-on experience in software engineering, data science, or technical innovation, ideally within R&D or regulated environments You have 4+ years in a leadership role managing multidisciplinary technical teams You have proven experience driving technology delivery from prototyping to scaled implementation You have deep expertise in modern data and software development technologies and architectural practices You are proficient with Python or R, and ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch You have a strong understanding of supervised/unsupervised learning, statistical modeling, and experimental design You are familiar with software development practices including version control, testing, and collaborative coding You have experience running simulations or analyses in a high-performing computing environment You have knowledge of and experience with four or more of the following: Epidemiology, including causal inference methods for observational real world data (RWD) or real world evidence (RWE) Bayesian statistics Decision theory, including multiple criteria decision analysis (MCDA), utility elicitation, decision simulation models, or Value of Information Clinical outcomes research using data from electronic health records (EHR) Discovery mechanisms and evidence generation pathways for novel biomarkers and risk scores Interpretable machine learning Methods to incorporate knowledge graphs, ontologies, or other forms of structured information Probabilistic programming languages Complex or innovative clinical trial designs, including adaptive stopping, seamless Phase 2/Phase 3 designs You have a strong track record in managing resources, planning capacity, and balancing competing priorities You have excellent communication and stakeholder management skills You are fluent in agile delivery, DevOps, or other modern ways of working You have a passion for continuous learning You have a passion for mentoring colleagues of all backgrounds You have capacity for independent thinking and ability to make decisions based upon sound principles You exhibit excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond technical domain You demonstrate respect for cultural differences when interacting with colleagues in the global workplace You possess excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language Preferred: Experience in pharma, life sciences, or healthtech sectors Familiarity with regulated environments and compliance-driven product development Exposure to innovation frameworks (e.g., lean startup, dual-track agile) Demonstrated ability to assess and integrate emerging technologies (e.g., GenAI, ML Ops, cloud platforms) Relocation benefits are not available for this posting The expected salary range for this position based on the primary location of California is $254,400-$472,400. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.Benefits #PPDT #PDDSSF Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants .

Summary: The Data Science Intern will experience a full immersion within our Data Science team and hone their skills by conducting research alongside our Data Scientists. The candidate will have ample opportunity to participate in and contribute to the day-to-day operations of the Data Science Team such as project planning, data analysis, model development and validation, and meetings with business partners. Specific responsibilities will be determined based on the candidate's abilities, background, and interests. Primary Responsibilities: Apply your creative and analytical skills by conducting in-depth exploratory data analysis on real-world datasets Help us solve complex business problems using data visualizations, statistical analysis, machine learning, and other advanced analytics. Collaborate with data scientists by researching innovative approaches to similar problems in finance and other industries Participate in meetings and discussions with key stakeholders to begin thinking and solving problems as a 'business-minded' data scientist Preferred Qualifications: Must be a Master's degree candidate in a technical or data-related field as a rising junior or senior Possesses a strong understanding of statistics and mathematics concepts Proficient in Python and SQL (DataBricks, Spark, Azure a plus) Entrepreneurial spirit with the ability to work well in a team environment Creative problem-solver with impeccable attention to detail Well-versed in Microsoft Office applications, specifically Excel and PowerPoint For Illinois Applicants only: the expected hourly rate for this position is $22/hr.

Job Description Who We Are Horizon Media, founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service. Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain's New York Business and Los Angeles Business Journal. Together we are building a place of belonging. At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together. Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow. What Is blu. blu. is Horizon's omni-marketing capability that is powered by a Connected Marketing Platform, built in-house from the ground up. The foundation of this platform is an Identity Framework built upon our relationship with TransUnion, whose PII data acts as our identity spine. By integrating with agency partners who have deterministic data assets we have licensed and attached 11K+ attributes to bridge the gap between martech and adtech to deliver a true 360 consumer view. This enables brands to engage customers and prospects across all journeys. Our portfolio of solutions and products are designed to complement a clients' existing tech. Proprietary insights tools enhance profiles with psychographic attributes and custom models identify and assign propensity against audiences based on KPIs. We have a central, connected, user-friendly platform for insight development, audience creation and activation. Our Solutions & Services are built on top of the Connected Marketing Platform offering bespoke capabilities across business strategy, planning, activation, measurement and optimization. Job Summary The Associate, Marketing Science's main responsibility is to use advanced statistics and data science techniques to build qualified audiences for our client's campaigns. This person will apply sophisticated data science, modeling, and other advanced analytics techniques to help guide our clients' audience strategy to make their media campaigns resonate better and be more effective. Using data, ML, and the blu. Platform, the blu Marketing Sciences group brings to life the most qualified audiences for our clients addressable campaigns. These results and deliverables are a contributor and often "proof of concept" to Product enhancement and future capabilities. In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of Agency groups. They must be intellectually curious with the drive and experience to identify, frame and solve business problems. They must be a critical thinker who can provide creative strategic solutions and who can follow-through with flawless execution. Highly driven with an exceptional work ethic, determination to overcome complex challenges, and a desire to have huge impact on the business. Responsibilities 30% Solutions Design & Innovation Ability to understand and leverage blu. structured and unstructured data Ability to build end-to-end data science solutions for a non-data science audience Ability to generate clear, concise and comprehensive analyses that tell the story behind the data! Data transformation/mining and generation of insights to explain audience performance and inform optimization Data join process between blu audiences, media exposure and conversion events to build feedback loops Analysis of audience conversion to KPIs Increasingly utilize AI solutions to inform and expedite some or all of the required analysis 60% Technical & Analytical Excellence Audience Development Machine Learning, Data Mining with Machine Learning with large datasets of Structured and Unstructured data. Data Validation, Predictive modeling, data visualization techniques. NLP for sentiment analysis Mathematical and Statistical libraries in Python and/or R Experience in importing/exporting data for relational databases Measurement Time series Bayesian analysis Causal Inference Familiarity with relational databases Solid understanding of data technology integrations across data sources and ecosystems, and ability to troubleshoot. Knowledge of the data dictionaries and taxonomies of structured data sets Cluster & Factor analysis Ability to perform advanced data visualization 10% Product Innovation & Management Become a power user to drive continuing improvement in the analysis and results supported by AI and the custom solutions built on top and around those Experience working with and/or managing teams in product development Consider design principles that scale and can be repeatable and/or extensible to other clients or industries Participate in Product release management processes, including all levels of testing (Alph, Beta, QA, UAT) Propose features, models, queries and requests and often "proof of concepts" for Product enhancement and future capabilities Qualifications BS/BA degree in Computer Science, Statistics, Applied Mathematics, or a related field required. 0-2 years relevant experience, preferably in a media, marketing or digital advertising environment. Working knowledge of Big and basic data mining routines a must. Expert knowledge in an analytic and programming language such as Python, R, or a similar language Working knowledge of Predictive and Machine Learning a plus. Persistence: Demonstrate tenacity and willingness to go the distance to get new things done. Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision. A team player who can work collaboratively within the group and across business units/functions. Strong verbal communication skills, extremely well-organized. Business acumen - understands the strategic levers of the business and how analytics is a catalyst for decision making. #LI-KG1 #LI-HYBRID #HM Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $100,000.00 - $120,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow. At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best. The Risk Solutions Data Science Team provide data products and services to help our business units use technology to create, manage, and optimize information and business processes. These include a wide range of activities such as: model development, process automation, decision support, and data augmentation. The overall goal of the team is to provide technology solutions that increase efficiency, increase revenue, and give our company a competitive advantage over our competitors. The Data Science Team within the Risk Solutions division is seeking an intern for the summer 2026. Essential Job Functions & Responsibilities Analyzes internal and external data and performs statistical modeling to develop actionable insights and recommendations to management regarding business and product performance. Develops data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends and extract knowledge from large, high dimensional data sets Identifies areas to increase efficiency and automation of data analysis processes. Translate business problems/opportunities into technical requirements and data science specifications. Distill and present complex problems and solutions by creating concise slide decks for leadership Creates solutions that enable enhanced business performance and decision making through a range of data preparation, modeling, analysis and/or visualization techniques. Uses artificial intelligence and machine learning to develop processes automation. Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. Develops and maintains strong business knowledge and customer relationships. May estimate the economic impact of operational decisions. Actively participates in agile planning and documentation in support of producing minimum viable products as well as product long term roadmaps Performs other duties as assigned. Job Qualifications Development skills in Python, the core AI/ML libraries (required) PySpark, PyTorch Retrieve and manipulate data and troubleshoot data issues via SQL query Experience with Snowflake and SQL database Experience with distilling and presenting complex problems and their solutions to a non-technical audience Internal drive to expand your personal domain expertise and curiosity about how to use that expertise in collaboration with other team members to mitigate our current and future customers' financial needs. Education Working towards Master's Degree in Data Science, Applied Math, Statistics, Engineering, Finance, Science, or Computer Science or equivalent experience Business Unit: Great American Risk Solutions Benefits: We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits. Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers . Excludes seasonal employees and interns.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Horsham, Pennsylvania, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health- Therapeutics Development & Supply (TDS) This position can be located in Spring House, PA; Malvern, PA; Horsham, PA; or Beerse, Belgium. For candidate based in EMEA with interest in working in Beerse, please apply to requisition: R-047946 Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science- DPDS Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Role Summary Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing & Controls (CMC), Device Development, and Clinical Supply Chain. This organization ensures that every molecule, modality, and delivery system is robustly developed, scaled, and supplied under rigorous quality and regulatory standards. We are seeking a Global Head of Data Science & Digital Health- TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. In close partnership with TDS teams and the broader DPDS organization, this leader will transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities-small molecules, biologics, and cell & gene therapies. By championing digital twins, predictive modeling, and GenAI-powered knowledge acceleration, this role will industrialize development processes and strengthen J&J's leadership in innovative medicine through deep collaboration with TDS functions, JJT, and enterprise data/AI partners. Key Responsibilities Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization. CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities. Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse. Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization. Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability. Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks. Platforms, Data & MLOps: Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts. GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration. External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics. People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency. Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments. Qualifications Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field. 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting. Demonstrated outcomes in process and analytical development or clinical supply analytics. Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES. Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene). Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting. Prior collaboration with External Innovation partners in development/manufacturing technologies. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Director, Head of Hematology R&D Data Science & Digital Health. This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ. The position requires 25% travel. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio. This will include both early and late stage pipeline assets. This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods. This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine- R&D Oncology. You will be a thought leader within Janssen R&D in the field of applied use of innovative methodologies in clinical trials. The Applicant will: Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle. Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives. Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research. Identify and procure data sets and technologies for bespoke applications. Manage external partnerships. Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research. Qualifications: Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design. A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area. 8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions. Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims Capacity to manage timelines and drive key deliverables in a matrix environment. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals Prior experience working and driving external partnerships, either corporate or academic Ability to effectively communicate technical work to a wide audience. Team leadership either preferably as a line function leader or in some cases leader in a matrix environment Preferred: Experience with digital heath outcome solutions for Oncology therapies. Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting. Proficiency with regulatory submissions and interaction. Experience with novel, innovative approaches to drug development, such as Generative AI.s Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University's research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University's reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS), Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects' datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. Job Status: Full time Employee Type: Faculty

Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance. If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics! At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our 'MMO' offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact. Key figures about Ekimetrics 400+ data science experts globally 1000+ diverse projects & 350+ clients 5offices: Paris, Hong Kong, Shanghai, London and NY UK data company of the year 2023 Voted Great Place to Work 2023 Microsoft's sustainability partner Voted as a leader in "Marketing Measurement & Optimization" by Forrester wave 2023 About the Role: To sustain our quick growth, we are seeking a Manager to join our team in New York. The successful candidate will show both analytic skills and strong interest for marketing & business strategy. The Manager plays a key role in Ekimetrics organization. They will be contributing to the growth and health of the company, including providing thorough leadership by closely working with the Ekimetrics Management team. The ideal candidate will focus on delivering analytics projects that will lead to significant, value-led transformation for our clients. This requires building strong client relationships by understanding their needs and offering the right solutions. Responsibilities: Client Facing Ownership on the client relationship of the managed accounts. Promote a confidence and proximity relationship with blue chip clients at EXEC Level Ensure the day-to-day operational management of key accounts and coordinate several projects simultaneously. Cultivating your external network with a client centric approach Data Science and Modeling Responsible for the production of statistics and econometrics modeling Ensure the respect of Ekimetrics standards of Excellence on the strategic recommendations delivered Ability to manage data scientists Business Acumen Lead strategic consulting missions for key clients around the company portfolio. The ideal candidate will bring real value into our projects by helping top management to define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement. Broad client relationships at VP level in order to achieve new business opportunities. Team management/People developer Recruit and align resources to hire, develop staff, manage performance, and create/enhance data scientists at all levels. Actively work with the team to improve team's engagement, retain top performers and support the development of future leaders at Ekimetrics Company development Managers at Ekimetrics are strongly involved in the company's development initiatives. The successful candidate will be involved in strategic decisions and be a strong representative of Ekimetrics' Culture. Bring leadership insight specific to Industry or functional analytics and continue to build Ekimetrics' reputation and brand. Qualifications The successful candidate will possess both, a strong track record in analytics & modeling and capacity to conduct business & strategy assignments in order to create value and innovative customer engagements. Ideally, you'll have: Strong knowledge and experience in Marketing Mix Modeling/Optimization (MMM/MMO) or marketing and/or media measurement and effectiveness. Understanding of media variables/econometrics and prior modelling experience across large data sets. Knowledge and/or understanding of coding languages such as Python (preferable) or R. Experience working with clients and account management. Strong ability to develop new and long lasting client relationships at senior levels (including business leaders) within the sector and a focus on complex analytic issues. Team oriented and collaborative working style, both with clients and those within the organization. Capacity to develop high impact thought leadership that articulates a forward thinking view of the market. Excellent communication and presentation skills - especially translating complex technical findings into insights and stories for stakeholders. Demonstrated ability to develop younger talent and build a high performing team. What we offer: At Ekimetrics, final base salary is determined by a multitude of factors and vary from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience, and skillset. A reasonable estimate of the base salary for our NYC office is $140,000. In addition to this base salary range, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure. Medical insurance, dental and vision An emphasis on work-life-balance and generous PTO Dynamic environment with a strong culture and great offices Close-knit team with friendly environment, bi-monthly team events and more Creative and entrepreneurial start-up environment with vertical mobility Best-in-class methodologies and cutting edge technologies Unique training package with 70+ sessions Growth to develop a double profile in data science and strategic consulting Client exposure up to the executive level Opportunities for international mobility Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law. Please note that we do not offer visa sponsorship or transfer for this position. $140,000 - $140,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want We are seeking a motivated and enthusiastic Data Science Intern to join our team. The Data Science intern collaborates with team members to build models, conduct tests, analyze data, and productionalize our ideas. The ideal candidate is eager to learn, has a strong analytical mindset, and is proficient in programming and statistical analysis. What You'll Do Develop an understanding of the logistics industry as well as Arrive's core business functions and processes Work closely with data scientists to develop models, analytic solutions, and statistical analysis Work with data scientists and engineering to perform model testing and then put models and solutions into production Collaborate with data scientists to document models, monitor performance, and perform ongoing support for existing models Prepare, clean, and wrangle large data sets Qualifications Masters or Ph.D degree in a relevant field (Data Science, Math, Statistics, Economics, Computer Science, Engineering) Solid knowledge of statistics, mathematics, and computer science Experience with Python, R, or other statistical programming language Experience evaluating, fitting, and interpreting results of common data science models Focus on impact, agility, learning, openness, togetherness, independence, humility, and responsibility Strong written & oral communication skills and an ability to present effectively to stakeholders of all levels Interested in staying abreast of emerging data science research and trends and continuously upskilling your capabilities as new methods and techniques are developed Experience with an Agile development methodology is a plus Experience formulating and solving optimization problems is a plus Experience working in cloud environments is a plus Experience in the Logistics or Transportation Industry is a major plus. The Perks of Working With Us Build relationships and find your home at Arrive through our Employee Resource Groups. Enjoy office wide engagement activities, team events, happy hours and more! Leave the suit and tie at home; our dress code is casual. Work in the booming city of Austin, TX - we are in a convenient location close to the airport and downtown. Park your car for free on site! Start your morning with a specialty drink from our fully stocked coffee bar, Broker's Brew. Sweat it out with the team at our onsite gym. Maximize your wellness with free counseling sessions through our Employee Assistance Program Get paid to work with your friends through our Referral Program! Your Arrive Experience When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos. Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact [email protected] for verification.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible- Flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. We are seeking a visionary Senior Director to lead Real-World Evidence (RWE) strategy and execution across therapeutic areas (xTA). This role will be pivotal in shaping the future of RWE at the organization - driving internal/external collaborations, advancing regulatory-grade evidence generation, and elevating our scientific leadership both internally and externally. The successful candidate will partner closely with senior leaders across R&D and commercial to build an integrated, agile, and forward-thinking RWE ecosystem. This includes leading strategic initiatives, influencing regulatory policy, and representing organization as a thought leader in the global RWE community. Key Responsibilities Strategic Leadership & Ecosystem Building Define and execute the RWE initiatives across therapeutic areas, ensuring alignment with long-term organizational goals. Lead cross-functional RWE committees and foster high-impact partnerships with internal and external stakeholders. Shape and elevate the enterprise-wide RWE ecosystem through innovation, governance, and capability building. Regulatory Policy & Scientific Influence Serve as a strategic advisor on regulatory-grade evidence generation and policy shaping. Lead preparation and presentation of scientific data packages for regulatory submissions and agency interactions. Represent J&J in external forums to influence RWE standards and regulatory expectations. Scientific Leadership & Methodological Excellence Chair the Methodology Review Board (MRB) and oversee a portfolio of high-impact RWE projects. Establish best practices for novel study designs and implementation. Promote continuous learning and innovation in emerging RWE methodologies and technologies. Develop frameworks and tools to scale evidence generation and accelerate delivery. Champion a culture of scientific rigor, collaboration, and execution excellence. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Expertise in regulatory-grade evidence generation and regulatory engagement. Strong leadership in cross-functional initiatives and ability to influence without authority. Subject matter expertise in key therapeutic areas including Oncology, Immunology, Neuroscience. Experience in matrixed organizations and global stakeholder engagement. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Project/Program Management Group Job Sub Function: R&D Project Management Job Category: Professional All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Johnson & Johnson Innovative Medicine: Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at Janssen Innovative Medicine. Position Summary: The Director, Data Science Strategy & Operations will play a pivotal role in driving the execution of critical initiatives for the Data Science & Digital Health (DSDH) organization and the integration of all IT and Data investments for R&D governance. This leader will oversee portfolio and project management activities (leveraging Wrike), lead a matrixed team of project managers, and ensure strategic alignment and operational excellence across the Data Science portfolio. Key Responsibilities: Strategic Leadership & Execution Support the Chief Data Science Officer and Senior Director in executing near- and long-term data science strategies. Design and implement appropriate governance for the Integrated IT roadmap for R&D Partner across the DSDH Strategy and Operations team to ensure flawless execution of Portfolio and Project Management tasks, initiatives and strategies Lead cross-functional teams to deliver on key initiatives, ensuring collaboration and alignment with internal and external partners. Provide strategic input and operational expertise, including use business case quantification and value articulation. Portfolio & Project Management Oversee the Data Science project portfolio, ensuring prioritization, resource allocation, and timely delivery of projects. Implement and optimize project management processes and best practices, including using Wrike. Develop and maintain dashboards and reporting tools to track project status, risks, and outcomes. Team Leadership Lead, mentor, and develop a team of matrixed project managers, fostering a high-performance culture. Drive change management and continuous improvement initiatives within the team and across the organization. Financial & Business Planning Partner with Finance and HR to manage budgets, headcount, and resource planning for the Data Science organization and Integrated IT Roadmap. Consolidate input from therapeutic and functional areas to ensure consistent financial planning and governance. Stakeholder Engagement Serve as a key liaison between Data Science, Therapeutic Areas, IT and other enabling functions. Communicate DSDH and Integrated R&D IT project and/or portfolio progress to senior leadership and stakeholders. Required Qualifications: Advanced degree (PhD or Master's) in Computer Science, Statistics, Data Science, or Business-Related field, or demonstrated equivalent work experience within a multi-national pharmaceutical company. 7+ years' experience in data science, digital health, or related fields, including significant experience in portfolio and project management. Demonstrated experience leading and developing teams of project managers. Expertise with project management tools (Wrike preferred) and methodologies. Proven ability to drive strategic initiatives and manage complex, cross-functional projects. Strong financial acumen and experience with budget management. Excellent communication, interpersonal, and leadership skills. Preferred Qualifications: Experience with healthcare datasets (EHR, claims, registries). Familiarity with the use of AI tools to improve productivity Familiarity with data visualization tools (e.g., R, Tableau, Spotfire). Experience in large matrixed organizations or consulting environments. Change management certification or training. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Agility Jumps, Business Alignment, Continuous Improvement, Mentorship, Performance Measurement, Process Control, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Reporting, Project Schedule, Quality Control (QC), Research and Development, Risk Management, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: y Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.