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

We are seeking a dynamic individual to manage a high-performing team within our organization. The Data Science Manager provides operational leadership for the Financial Insights & AI Solutions team within Corporate FP&A. As the Data Science Manager, you will work with a team to develop and deploy advanced analytical models and AI solutions across Finance & Business Operations. You will be a key contributor, collaborating closely with domain experts and stakeholders to ensure our projects are technically sound, strategically aligned, and deliver measurable value. This role focuses on aligning team capacity, delivery execution, and prioritization to the F&BO Roadmap and current business needs. This is an exciting opportunity to lead a critical function within our organization, driving innovation and transformation at the intersection of finance, technology, and business operations. Primary Responsibilities: People Leadership Directly manage Data Science team members, including goal setting, performance management, coaching, and career development. Foster a collaborative, inclusive, and high-performing team culture. Support talent development by identifying skill gaps and partnering with Corporate FP&A leadership on training and growth opportunities. Model Development: Oversee and support the development of predictive models and data-driven insights for a variety of mission-critical applications. Provide support across our business initiatives focusing on: Decision Intelligence, Predictive Analysis & Operations Automation Engage in continuous learning and development, staying current with the latest advances in AI/ML and data science to ensure fit-for-purpose and impactful approaches. Delivery & Resource Management Partner with the Business Insights & AI Solutions Director and Data Analytics Manager to ensure commitments are met and tasking aligns with business priorities Monitor delivery progress, risks, and dependencies Collaborate with a team of other applied scientists, data analysts, and financial professionals to apply predictive models and automation solutions Roadmap Execution & Prioritization Support prioritization and execution of the F&BO Analytics & AI Roadmap Partner with the Enterprise Transformation Office (ETO) Balance short-term delivery needs with longer-term capability development. Operating Model & Change Enablement Partner with the Business Insights & AI Solutions Director and the Enablement & Change Lead to support Organizational Change Management (OCM) activities. Help drive adoption of analytics and AI solutions through effective communication, stakeholder engagement, and enablement. Reinforce standard processes, governance, and best practices across the CoE. Stakeholder Communication & Leadership Engagement Communicate complex analytical findings, outcomes, and recommendations clearly to both technical and non-technical stakeholders to drive decision-making. Develop and present leadership briefings, including delivery status, capacity, risks, and outcomes. Communicate clearly with business stakeholders to align expectations and ensure shared understanding of priorities. Basic Qualifications: Bachelor’s degree in a quantitative field or a related discipline with 5+ years of relevant professional experience. Prior experience managing a team or project. Proficiency in a programming language such as Python or R and deep experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Preferred Qualifications: Basic understanding of Leidos financial data structures and processes Familiarity with cloud-based data science and machine learning platforms (e.g., AWS SageMaker, Azure ML). Experience with data visualization tools such as Tableau or Power BI. Knowledge of Generative AI technologies and their applications, including Large Language Models (LLMs). If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: January 20, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. About this position We are looking for a highly motivated scientist passionate about precision medicine, with a strong background in analyzing large-scale, multi-omic molecular and real-world clinical datasets. In this role, you will collaborate with an interdisciplinary team to develop and refine best practices for integrating and analyzing Tempus’ comprehensive multi-modal data—including genomics, transcriptomics, digital pathology, and longitudinal clinical records. You will play a key role in evolving the Tempus Data Model to maximize the value of these diverse data types, and lead impactful research studies that leverage this unique dataset to address critical questions in cancer and other human diseases. Your work will directly enhance Tempus’ research capabilities and empower our teams and partners to generate actionable insights for patient care. Responsibilities Lead and contribute to translational research projects leveraging large-scale real-world clinical and multi-omic molecular data. Collaborate closely with computational scientists, engineers, and data production teams to design, validate, and refine data models and analytical workflows for research use. Evaluate and integrate omic data sets within the Tempus data platform. Define and document best practices for scientific use of Tempus data, ensuring analytical rigor and reproducibility. Communicate complex bioinformatics methods, analytical results, and scientific findings clearly to audiences with varying levels of technical and genomics expertise. Required Qualifications: 3+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis Demonstrated track record of peer-reviewed publications in cancer or translational research using large-scale, multi-omic datasets. Strong experience analyzing real-world clinical data and linking it with molecular datasets. Advanced SQL skills and hands-on experience working with large, complex relational databases and data models. Thrive in a fast-paced environment and willing to shift priorities seamlessly Preferred Qualifications Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes. Expertise in multi-omic analyses, including single-cell and/or spatial platforms. Proficiency in Python and/or R for scientific data analysis and visualization. Familiarity with CLIA/CAP validation frameworks and translating scientific analyses into production or clinical-facing contexts. Experience with modern research computing and engineering practices (e.g., Git-based workflows, Docker, cloud computing, code review). CHI: $100,000-$160,000NYC/SF: $115,000-$165,000 The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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: Career Programs Job Sub Function: Non-LDP Intern/Co-Op Job Category: Career Program All Job Posting Locations: Cincinnati, Ohio, United States of America Job Description: As a Co-op in the MD Quality and Compliance (Q&C) Digital Solutions organization, you will have the chance to: Use state of the art tools and take advantage of training courses offered at J&J. Collaborate with teams internal and external to the advanced analytics to implement customer-centric solutions for data analytics and process improvements Perform software development and validation to support medical device quality system digital solutions. Learn and apply various software development and lifecycle management techniques. Promote digital culture and capabilities across J&J medical devices Strengthen communication and leadership skills. Work with a diverse team of data scientists, analytics app developers, quality engineers, etc. Meet with Quality management to discuss risks and opportunities for the respective projects. The Digital Solutions Co-op will: Have the opportunity to work at and support Ethicon, Inc in Cincinnati, Ohio Assigned to a team in one of the various franchises of each respective company. Work in MD Q&C Digital Solutions group. Report directly to, and receive assignments from, MD Q&C Digital Solutions Advanced Analytics Manager, while also working with the broader team for additional assignments. Participate in and/or lead on-campus activities such as learning committees, volunteer events, and meet and greet luncheons with full time associates. Qualifications Enrolled in an accredited College/University pursuing a Bachelor’s or Master’s degree in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, Electrical Engineering, Computer/Software Engineering or a related field Be in your second year or above in school at the b e ginning of the co-op term in May 2026 with a graduation date after August 2026 GPA of 3.0 or above Authorized to work in the United States during the full duration of the co-op (05/2026 - 08/2026) Familiarity with basic statistics concepts/terminology (If not in an engineering application- other roles are acceptable (i.e. budget management from a club, or any experience working with numbers Detail-oriented, highly organized and able to manage multiple tasks Demonstrated ability to work independently as well as on a team Proficiency with Microsoft Office (Word, Excel, Power Point) and have strong oral and written communication skills Preferred: Demonstrated leadership/participation in campus programs and/or community service activities Previous quality related experiences Knowledge of FDA or regulatory guidance. Medical related experience (previous co-op at medical device company, working volunteering at a hospital, etc.). Programming (e.g. R, Python, etc.) and data analytics experience is strongly preferred. Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship. 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 & 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, external applicants please contact us via https://www.jnj.com/contact-us/careers . Internal employees contact AskGS to be directed to your accommodation resource. Required Skills: Preferred Skills: The anticipated base pay range for this position is : $23.00/hr to $51.50/hr Additional Description for Pay Transparency: The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan. Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year. Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension). For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits This job posting is anticipated to close on 8/14/2026. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

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 .

Description Are you ready for a change? At GS1 US, employees at every level play a vital role and provide a meaningful voice on issues that affect consumers across the country. We are a small company with a world-class culture . We make a huge impact on the way the world does business. What is in it for you: As a Data Science Director at GS1 US, you have the opportunity to join a dynamic organization that is constantly innovating and never stagnant. You will be responsible for leveraging data to drive strategic insights, optimize operations, and support innovation across our standards-based solutions. In return you’ll be rewarded with great pay and benefits in a hybrid work culture. You’ll work at a high-performance company with a world-class culture that invests in its employees. We don’t just say culture is important to us, we have the data to back it up. We are currently recruiting for this position, which offers a salary range of $135,000 to $170,000. This position qualifies for participation in our annual employee bonus program. This position is also eligible for company-sponsored benefits, which include: Health (medical, RX, dental, vision) - effective immediately 401(k) with Employer Safe Harbor and Profit Sharing Contributions - effective immediately Short and Long Term Disability Coverage Mental Health and Wellbeing (6 employer sponsored therapy and coaching sessions) Individual Wellness Platform Paid Parental Leave Generous PTO and Company Paid Holidays LinkedIn Learning Tuition Reimbursement Kudos (employee recognition and engagement platform) Catered Lunches 2x/week on in office days Who you are: You bring a strong educational background, holding a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. You possess 5+ years of experience with manipulating large data sets, identifying patterns, and developing interference and regression models that can be implemented as well as 8+ years of programming expertise including tools such as Power BI and languages such as Python, SPARK, SQL etc. Proficiency in the Microsoft Azure ecosystem—including Azure ML, Fabric, Synapse Analytics, and Microsoft Power Platform is essential, as is a solid command of Python and SQL programming. You excel at leading complex projects, shaping analytical strategies, and mentoring junior data scientists and engineers. Your expertise encompasses robust data governance, security, and scalability, with a proven track record in machine learning, deep learning, and statistical modeling. Additionally, you are well-versed in CI/CD pipelines for model deployment. You are experienced in working with third-party data providers and APIs and are familiar with Microsoft Dynamics 365 and other business applications. You are a strong communicator with the ability to translate complex data into clear, actionable insights for a variety of audiences. What you will do: As a Data Science Director, you will design, develop, and deploy predictive models and machine learning algorithms using Microsoft Azure ML, Python, and other relevant tools. Here are a few more details about the role (other duties may be assigned): Leverage Microsoft Fabric for unified data analytics, including integration with Power BI, Azure Synapse, OneLake, and external datasets Collaborate with cross-functional teams to understand data needs and translate them into analytical solutions. Must be able to deliver solutions to production. Analyze structured and unstructured data to uncover trends, patterns, and insights that inform business decisions Visualize data insights using dashboards and reports to communicate findings to stakeholders. Present findings and recommendations to technical and non-technical audiences Provide technical direction and best practices for modeling, data engineering, and analytics Establish good data management practices including data governance and MDM. Establish standards for data quality, model validation, predictive and prescriptive analytics Stay current with industry trends, emerging technologies, and best practices in data science and analytics. Supervisory responsibilities: w hile this position may not initially have supervisory responsibilities, this role is expected to provide technical leadership in the area of data science and data analytics. This person is also be expected to collaborate across GS1 US and lead cross-functional teams as needed. Ready to be part of a team that believes the identification of everything makes anything possible? Apply today – we can’t wait to hear your story. GS1 US is an Equal Opportunity Employer - All qualified applications will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin. GS1 US is not accepting unsolicited resumes from search or staffing firms. All resumes submitted by search or staffing firms to any employee at GS1 US via-email, internet or directly without a valid written search agreement will be deemed the sole property of GS1 US, and no fee will be paid in the event a candidate is hired by GS1 US.

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

Firm Overview: Cambridge Associates (“CA”) is a leading global investment firm. CA’s goal is to help endowments & foundations, pension plans, and ultra-high net worth private clients implement and manage custom investment portfolios that generate outperformance so that they can maximize their impact on the world. Cambridge Associates delivers a range of services, including outsourced CIO, non-discretionary portfolio management, and investment consulting. Headquartered in Boston, Massachusetts, CA has offices in key markets in North America, the United Kingdom, Europe, Asia, and Oceania. Our worldwide teams ensure our clients benefit from decades of global presence, local expertise, and relationships with the top global investment managers across the world. For more information, please visit www.cambridgeassociates.com . Job Description Summary: THE OPPORTUNITYData Analyst Internship ProgramPOSITION SPECIFICSLocation of Position: Boston, MAProgram Length: 10-week program from early June to mid-August (open to rising juniors and seniors: Class of 2026 &2027)Required for Application: ResumeOffice Requirement: Intern is expected to work in their assigned office at least 4 days per week with the option to work from home 1 day per weekExpected Hours: Interns are expected to work 40 hours per weekBase Pay/Salary: Boston, MA: $25 / hour and additionally, offer includes sign-on bonus. Job Description: DATA ANALYST INTERNSHIP PROGRAM The Data Office at Cambridge Associates is seeking motivated and curious interns to join our team for a 10-week summer program. This is an exciting opportunity to gain hands-on financial services domain knowledge and experience in business and data analysis, data governance, data engineering, and development work that supports our enterprise data initiatives. Interns will work closely with the Chief Data Officer and Data Office team on projects that drive data governance, data quality, master data management (Security Master), and the development of our Snowflake Data Platform. You will be exposed to real-world challenges in data management, analytics, and technology, and will contribute to projects that have a meaningful impact on our organization’s data strategy. This program is designed for students who are eager to learn, collaborate, and develop foundational skills for a career in data and analytics. Responsibilities: Collaborate with Data Office professionals on projects related to business analysis, data governance, data engineering, and development. Support the development and enhancement of the Data Platform, including data integration and automation tasks. Assist in the business and data analysis, design, testing, and implementation of data quality and master data management solutions. Analyze and document business and data requirements for data-related initiatives. Participate in data profiling, data cleansing, and data validation activities. Contribute to the creation of dashboards, reports, and data visualizations to support decision-making. Engage in team meetings, planning sessions, and code reviews. Communicate findings and progress clearly to both technical and non-technical stakeholders. Take part in self-guided learning and training sessions to build technical and business knowledge. We Offer: Mentorship from experienced Data Office professionals and the Chief Data Officer. Exposure to enterprise-level data management, governance, and engineering practices. Networking opportunities with leaders across the organization and with other interns. Participation in intern-specific events, employee resource groups, and service council activities. Access to online learning platforms and resources for self-directed skill development. A collaborative, inclusive, and supportive work environment. Qualifications: Current enrollment in a Bachelor’s degree program, ideally in Computer Science, Information Systems, Engineering, Mathematics, Business Analytics, or a related field. Strong analytical and problem-solving skills with passion solving complex problems through data Interest in data management, data engineering, or business analysis. Basic programming experience (Python, SQL, or similar languages preferred). Interest in learning about finance and investment management. Eagerness to learn new technologies and concepts. Effective communication and teamwork skills. Ability to work in a hybrid environment (Boston office). Proactive, detail-oriented, and organized. Must be eligible to work in the US without sponsorship or restriction now and in the future How to Apply: Submit your resume and a brief cover letter describing your interest in data, technology, and how this internship aligns with your career goals. Base salary range for this role: Pay Range Minimum: 0 Pay Range Maximum: 0 In addition to the listed salary range, this position is eligible for an annual performance-based bonus and a comprehensive, competitive benefits package. Actual placement within the stated salary range will be determined based on factors such as skills, experience, and qualifications, as well as internal equity. The firm is committed to the concept and practice of equal employment opportunity and will not discriminate against any employee or applicant on the basis of race, color, religion, age, sex, national origin, sexual orientation, gender identity, disability, or veteran status. It is expected that all employees will follow a similar policy toward their co-workers.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 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.

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 .

About This Role The Associate Director, Data Science Lead, will play a pivotal role in Biogen’s Data Science team, driving the development of advanced modeling solutions that inform strategic business decisions across Marketing, Sales, and Access. This role will be responsible for leading high-impact data science initiatives including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies. As a hands-on contributor, you will guide and execute while collaborating with cross-functional teams to ensure that data science outputs are actionable, accurate, scalable, and aligned with brand priorities. You’ll be a thought partner to commercial leadership, championing the use of data and AI to deliver measurable business value. 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. Lead 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 and extract insights from unstructured data. Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms, while displaying agile ways of working, accountability and value. Being open to feedback from adopters on the quality of outputs and building 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 that drive measurable impact across marketing, sales, and access strategies. Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows and decision-making processes. Provide technical expertise and thought leadership on the development of analytical tools, reusable frameworks, proprietary data products, and service lines-contributing directly where needed. Promote analytical rigor, responsible experimentation, and model governance best practices, serving as a champion of quality and innovation across the analytics organization. Collaborate with a high-performing team of data scientists, that encourages learning and experimentation. Collaborate with IT to develop and co-create the ML Ops environments and deliver productized solutions Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness, drive personalized omnichannel engagement, and increase HCP engagement ROI. Develop and scale Patient 360 models and predictive targeting algorithms to support AI-driven lead generation, enable high-value patient outreach, and enhance commercial performance across key therapeutic areas. Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation using data from APLD, PlanTrak, claims, and specialty pharmacy sources. Manage relationships with external analytics partners, ensuring alignment with internal data engineering, insights, IT, and compliance teams for scalable, secure solution delivery. Who You Are: You are a data scientist with strong business instincts, a leadership presence, and a passion for solving ambiguous problems. You thrive at the intersection of analytics and action-building machine learning pipelines that scale and deliver insights that drive strategic decisions. You’re not only a strong individual contributor but also an experienced team leader who enjoys guiding others with ideas, mentoring talent, and fostering collaborative problem solving. Experience Required: Minimum 7 years of hands-on analytics or data science experience, including at least minimum 4 years leading data science projects or teams. Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting. Strong experience in marketing mix, portfolio optimization, decision engine build 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, Plan Trak, specialty pharmacy, or claims datasets. Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams. Preferred: Master’s degree in data science, Statistics, Engineering, Computer Science, Business Analytics, or related field. Job Level: Management Additional Information The base compensation range for this role is: $158,000.00-$217,000.00 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.

Position Summary... What you'll do... Are you a high-impact leader looking to solve complex problems and help customers at a massive scale? If so, this leadership role is the one for you! We seek an extraordinarily talented individual to join our team and lead our centralized eCommerce Decision Science/AI, Data Engineering, & Business Intelligence functions. This leader will help scale our rapidly growing eCommerce business through modeling & generative AI insights and lead and grow critical Data Engineering and Business Intelligence capabilities. We seek a leader that is equal parts visionary and hands-on; you will simultaneously formulate and shape our forward-looking analytical/science roadmap but are also highly curious and willing to dig into the details of daily work to improve how we serve our customers. This role reports directly to the Vice President of Walmart eCommerce Decision Science & Analytics. Technical Assessments Code Development and Testing Requires knowledge of coding languages like SQL Java C Python and others Testing methods such as static dynamic software composition analysis manual penetration testing and others Business domain understanding To write code to develop the required solution and application features by determining the appropriate programming language and leveraging business technical and data requirements Create test cases to review and validate the proposed solution design Create proofs of concept to test the code using the appropriate testing approach Deploy software to production servers Contribute code documentation, maintain playbooks and provide timely progress updates Tech Problem Formulation Requires knowledge of Analytics big data analytics automation techniques and methods Business understanding Precedence and use cases Business requirements and insights to collaborate with multiple business stakeholders to gain an understanding of complex organizational problems from varied perspectives to create effective technology focused solutions Influence the business to redefine the problem statement Design multistage data driven solutions to real world problems for issues that are amenable to a data driven solution Redefine data analytics big data analytics automation goals and deliverables by leveraging experience with the business problem Identify return on investment Data Source Identification Requires knowledge of Functional business domain and scenarios categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers and measures of success to define data requirements for various model types Direct usage of the appropriate internal and external data sources based on business and model requirements for example types of databases recommended data structures Define data quality guidelines and align data governance Analytical Modeling Requires knowledge of feature relevance and selection Exploratory data analysis methods and techniques Advanced statistical methods and best practice advanced modelling techniques eg graphical models Bayesian inference basic level of NLP Vision neural networks SVM Random Forest etc Multivariate calculus Statistical models behind standard ML models Advanced excel techniques and Programming languages like Python Basic classical optimization techniques eg Newton Raphson methods Gradient descent Numerical methods of optimization eg Linear Programming Integer Programming Quadratic Programming etc To explore and create automated feature generation framework Develop standard EDA process Develop best practices on experimentation Drive exploratory work in newer areas of Math Statistics Machine Learning and optimization techniques Continuously improve the businesses data analysis models Create industry leading performance by leveraging new and creative data sources Employ the latest in machine learning in the department scope design and implement new machine learning models to support the businesses initiatives and programs with a view of achieving overall objectives and targets Guide teams in the development and delivery of big data predictive technologies models and fully working prototypes of complex algorithms using readily available libraries Understanding Business Context Requires knowledge of Industry and environmental factors Common business vernacular Business practices across two or more domains such as product finance marketing sales technology business systems and human resources and in depth knowledge of related practices Directly relevant business metrics and business areas To develop business strategy with executive leaders Evaluate proposed business cases for projects and initiatives Approve strategies initiatives and projects Determine metrics and performance indicators Contribute to strategic business decision making regarding key initiatives Outline business cases to be developed and drives delivery of work that has meaningful return on investment to the business Finalize new enterprise wide processes and ways of working Model industry best practices Proactively engage in the external community to build Walmart's brand and influence industry practices Influence and shape business vernacular Model Assessment and Validation Requires knowledge of model fit testing tuning and validation techniques eg Chi square ROC curve root mean square error etc Impact of variables and features on model performance To Identify and review model evaluation metrics based on analytical requirements Apply suitable techniques for model testing and tuning to assess accuracy fit validity and robustness Ensure testing information is documented and maintained Develop automated tests for analytical models Model Deployment and Scaling Requires knowledge of impact of variables and features on model performance understanding of servers model formats to store models To decide the models changes and deployment from a cost benefit perspective Lead teams in deploying large scale or multistage models or model ensembles Data Strategy Requires knowledge of understanding of business value and relevance of data and data enabled insights decisions Appropriate application and understanding of data ecosystem including Data Management Data Quality Standards and Data Governance Accessibility Storage and Scalability etc Understanding of the methods and applications that unlock the monetary value of data assets To understand articulate interpret and apply principles of the defined strategy Advise on the most complex business problems Leverage experiences learnings and business context to inform influence and define data strategy that usually spans one or more functions or domains Data Visualization Requires knowledge of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced visualization techniques tools Multiple story plots and structures OABCDE Communication influencing technique Emotional intelligence to define enterprise guidelines on most effective visualization tools in different contexts Guide the generation of appropriate graphical representations of data and model outcomes Understand customer requirements to design appropriate data representations for complex data sets and drive user experience designers and User Interface engineers to build front end applications Define and review application design based on customer requirements Build compelling stories based on context to integrate multiple pieces of information into cohesive insights Present to and influence audiences using the appropriate data visualization frameworks and convey clear messages through deep business and stakeholder understanding Customize communication style based on stakeholders and leverages relationships to drive behavioral change Guide and mentor junior associates on story types structures and techniques based on context Provides overall direction by analyzing business objectives and customer needs developing communicating building support for and implementing business strategies plans and practices analyzing costs and forecasts and incorporating them into business plans determining and supporting resource requirements evaluating operational processes measuring outcomes to ensure desired results identifying and capitalizing on improvement opportunities promoting a customer environment and demonstrating adaptability and sponsoring continuous learning Develops and implements strategies to attract and maintain a highly skilled and engaged workforce by diagnosing capability gaps recruiting selecting and developing talent supporting mentorship workforce development and succession planning and leveraging the capabilities of new and existing talent Cultivates an environment where associates respect and adhere to company standards of integrity and ethics by integrating these values into all programs and practices developing consequences for violations or noncompliance and supporting the open door policy Develops and leverages internal and external partnerships and networks to maximize the achievement of business goals by sponsoring and leading key community outreach and involvement initiatives engaging key stakeholders in the development execution and evaluation of appropriate business plans and initiatives and supporting associate efforts in these areas Respect the Individual Builds high performing teams seeks and embraces differences in people cultures ideas and experiences creates a workplace where all associates feel seen supported and connected through culture of belonging so associates thrive and perform drives a positive associate and customer member experience for all Respect the Individual Creates a discipline and focus around developing talent through feedback coaching mentoring and developmental opportunities builds the talent pipeline fosters an environment allowing everyone to bring their best selves to work empowers associates and partners to act in the best interest of the customer and company and regularly recognizes others contributions and accomplishments supports strategies and drives initiatives that attract and retain the best talent Respect the Individual Builds strong and trusting relationships with team members and business partners works collaboratively and cross functionally to achieve objectives and communicates and listens attentively with energy and positivity to motivate influence and inspire commitment and action Act with Integrity Maintains and promotes the highest standards of integrity ethics and compliance models the Walmart values and leads by example to foster our culture supports Walmarts goal of becoming a regenerative company by taking action to advance opportunity sustainability community and integrity eg creating fair opportunities for associates and suppliers driving local giving efforts Act with Integrity Ensures that teams follow the law our code of conduct and company policies promotes an environment where associates feel comfortable sharing concerns and models our culture of nonretaliation listens to concerns raised by associates and takes action and enables others to do the same holds self and teams accountable for achieving results in a way that is consistent with our values Act with Integrity Acts as an altruistic servant leader and is consistently humble self aware Serve our Customers and members Delivers expected business results while putting the customer member first and consistently applying an omnimerchant mindset and acting with an everyday low cost mindset to drive value and Every Day Low Prices for customers members Serve our Customers and members Adopts a holistic perspective that considers data analytics customer member insights and different parts of the business when making plans and implementing strategies Strive for Excellence Consistently raises the bar and seeks to improve demonstrates curiosity and a growth mindset seeks feedback asks thoughtful questions and fosters an environment that supports learning innovation learning from mistakes and intelligent risk taking and exhibits resilience in the face of setbacks Strive for Excellence Drives continuous improvements supervises the adoption of new technology and supports digital disruption in line with Walmart business model At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ‎ For information about PTO, see https://one.walmart.com/notices . ‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ‎ For information about benefits and eligibility, see One.Walmart . ‎ Sunnyvale, California US-04397:The annual salary range for this position is $254,000.00-$481,000.00 ‎ Bentonville, Arkansas US-09401:The annual salary range for this position is $195,000.00-$370,000.00 ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 8 years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 3: 10 years' experience in an analytics or related field.4 years' supervisory experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Sr. Data Science Analyst is reporting to the Director of Customer Analytics and is responsible for broad range of analytics used in establishing customer strategies and providing valuable customer-centric data insights for cross-functional audience including Merchandising, Marketing and Supply Chain. In this role candidate will build out and automate reports & dashboards, extract data from multiple sources to build models/algorithms used to fine-tune customer strategies, and build more advanced AI/machine learning tools and processes. The person in this role must possess strong data analytical skills and technical skills used in data engineering (mining from multiple sources/systems), predictive scenario modeling and machine learning knowledge. Analytics & Data engineering: * Automating reports, dashboards, and other performance tools * Data engineering/mining (collecting, transforming, cleansing and analyzing) * Providing valuable business analytics and insights out of data samples thru hypothesis testing * Utilizing different databases and connections and 3rd party data sets to enhance analytics scope * Building data visualizations in Tableau, R-Shiny or other * Providing ad-hoc analysis and presenting results in a clear manner AI/Machine Learning & Programing: * Building AI/machine learning tools to optimize analytics and processes within the company * Applying statistical methods and building machine learning algorithms (such as k-NN, Naive Bayes, SVM, Decision Forests) * Using query languages such as SQL * Utilizing data science toolkits such as R and Python (excellence in at least one of these) * Maintaining expert-level knowledge on data science trends, technologies, and methodologies * Scoring of key attributes used in deep statistical analysis and modeling * Leading in defining the project methodologies and approach Other skills: * Data affinity with attention to detail * Solution and problem-solving oriented * Strong Communication Skills (ability to communicate complex data in a simple way) * Strong Presentation Skills and Technical Writing Skills * Ability to work within a diverse background team or independently * Able to quickly interpret the data and transition it into tangible business recommendation EDUCATION Bachelor's Degree in data science, statistics, computer science, business or related field, require KNOWLEDGE, SKILLS & ABILITIES Strong analytical and data wrangling skills allowing to move quickly through large volumes of data Aggressive in pursuing opportunities and focused on providing technical and analytical business solutions to drive store level results Creative thinker focused of problem solving, finding efficiencies and streamlining processes Strong communicator with ability to work in group environment Flexible and adaptable, team-player able to work in a dynamic group environment Passionate for coaching and development of talent Ability to manage time and workload effectively with flexibility to shift focus/priorities at a moment's notice An ability to influence cross-functionally across a wide range of business areas and levels Excellent written and verbal communication skills Proven success in using data-driven analysis to assess opportunities and drive results Pay Range $90,000 - $132,000 Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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 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 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 within the R&D Data Science & Digital Health teams 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. Additional valued qualifications: Deep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges Expertise in wearables & digital health technologies: developing and validating digital biomarkers, integrating wearables into clinical trials, designing clinical trials with decentralized elements Experience 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:

Position Summary... What you'll do... Position Summary As a Senior Director of Data Science, you will lead Walmart’s AI strategy and execution across Pricing, Merchandising, Supply Chain for International Markets. In this pivotal role, you’ll drive the design and delivery of AI-powered platforms and agentic intelligence systems that shape the future of how Walmart prices, sources, and moves products globally. You will guide a diverse team of data scientists, machine learning engineers, and applied researchers to build scalable, responsible, and adaptive AI solutions that power Walmart’s global retail ecosystem—impacting millions of customers and associates across markets. What you’ll do... Lead High-Impact Data Science Teams Build, mentor, and inspire world-class data science teams across Pricing, Merchandising, and Supply Chain domains, driving innovation and measurable business outcomes. Shape Walmart’s Global AI Platform Strategy Develop and execute the roadmap for Walmart’s next-generation AI and data science platform—a unified ecosystem that scales across US and international markets to support pricing optimization, inventory planning, and omnichannel merchandising. Drive Agentic AI Innovation Champion the creation of agentic AI systems —autonomous, context-aware solutions that reason, act, and adapt dynamically to real-world business needs. These include intelligent decision agents for demand forecasting, supply chain resilience, pricing elasticity, and assortment personalization. Advance Data Science at Scale Partner with technology, product, and business leadership to operationalize advanced machine learning and causal inference models into production environments at enterprise scale. Deliver Global Impact Collaborate with Walmart International’s data and product organizations to ensure alignment of AI model governance frameworks across markets, driving consistent insights and platform interoperability. Champion Responsible & Explainable AI Embed responsible AI principles into Walmart’s modeling ecosystem—ensuring transparency, fairness, and accountability across automated decision systems. You’ll sweep us off our feet if... You’re a visionary leader who blends business acumen with deep technical expertise. You’ve built large-scale, production-grade AI or platforms in complex, multi-market environments. You’re passionate about agentic AI and believe in creating intelligent systems that learn and adapt to dynamic business contexts. You thrive at the intersection of data strategy, product innovation, and global operations. You inspire teams to think big, execute precisely, and move fast with purpose. Preferred Qualifications 15+ years of experience in data science, analytics, or AI-related fields, with 7+ years in senior leadership. Proven success leading AI and ML initiatives in global retail, eCommerce, or supply chain domains. Expertise in AI platforms, MLOps, and agentic AI systems using frameworks such as LangChain, PyTorch, TensorFlow, and reinforcement learning paradigms. Deep understanding of pricing science, demand forecasting, optimization, and retail merchandising. Demonstrated ability to partner with engineering and product teams to deliver enterprise-scale solutions. Advanced degree (PhD or Master’s) in Computer Science, AI, Statistics, Operations Research, or related field. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $160,000.00 - $320,000.00 Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 7years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science,Information Technology or related field and 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or relatedfield.3 years' supervisory experience. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 805 Se Moberly Ln, Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

We are seeking a highly motivated and talented Manager, Analytical Genetics and Data Science to join the AGDS team at the Regeneron Genetics Center (RGC) to help pioneer the analysis of large-scale proteomic datasets. In this role, you will develop and apply proteomic-based predictive models at scale, with a special emphasis on aging and-age-related diseases. Additional focus areas include the integration of multi-omic datasets, methods development for improved data harmonization and portability, and therapeutic target identification in collaboration with other RGC teams. In this role, a typical day might include the following: Plan, develop, and execute large-scale analyses of proteomic datasets, with an emphasis on aging and age-related diseases. Utilize machine learning techniques to build predictive models and generate insights from multi-omic datasets. Develop and implement methods for data harmonization and normalization across distinct cohorts to ensure consistency and reproducibility of results. Integrate proteomic, genomic, and other multi-omic data to improve therapeutic target discovery and prioritization. Lead the development of reproducible workflows and pipelines for multi-omic data analysis. Collaborate with cross-functional teams to drive large-scale omics projects and support translational research goals. Stay abreast of emerging trends in proteomics, machine learning, and multi-omics to continuously enhance analytical strategies. This role might be for you if have : Proficiency in Python and R, with familiarity in workflow languages such as WDL. Demonstrated expertise in machine learning and predictive analytics applied to biological data. Strong understanding of multi-omic data integration and its application in therapeutic target discovery. Experience in developing and implementing methods for data harmonization and normalization. Proven ability to independently lead and manage research projects from conception to completion. Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams. To be considered for this role, we require: A PhD, MD, or MD/PhD in a relevant field (e.g., bioinformatics, computational biology, genetics, or related disciplines). At least 3 years of post-PhD experience in analyzing large-scale omics datasets, with a focus on proteomics. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $126,700.00 - $206,900.00