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

Position: Online Course Developer: Foundations of Applied Data Science and Decision Analytics Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University Compensation: $3,000 (Approx. 65 hours over 12 weeks) Brandeis University's Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: Foundations of Applied Data Science and Decision Analytics. This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online's graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course will introduce the data lifecycle, reproducible workflows, and ethical communication of analytical insights. Students learn to structure analytic questions, organize projects in collaborative repositories, and communicate uncertainty effectively. Responsibilities: The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes. The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis's academic standards and online course development guidelines. Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer and Brandeis Online. Qualifications: Advanced degree (Master's or Ph.D) in Computer Science, Analytics, Strategic Analytics, Strategic Leadership, Information Design, Data Science, Software Engineering, or related field. Experience using BI and visual analytics tools in industry or consulting contexts. Experience in data science and decision analytics, including data lifecycle. Demonstrate ability to frame data problems and decision-focused questions, and to implement collaborative, version-controlled analysis. Experience in business intelligence, data visualization, and analytics storytelling, with the ability to translate insights into strategic actions. At least 1 year of teaching or training experience (preferably online/asynchronous). Minimum 1 year experience developing asynchronous online courses for adult learners in higher education. Proficiency with LMS platforms and digital authoring tools. Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork. Strong communication, organization, and independent work skills. Familiarity with curriculum design, accreditation standards, and graduate-level rigor. Ability to translate interdisciplinary content into engaging, accessible learning pathways. Strong writing and editing skills to produce cohesive, learner-centered experiences. Preferred Experience: Experience teaching or developing graduate-level online courses. Knowledge of global learner personas and culturally responsive pedagogy. Familiarity with Moodle LMS and digital authoring tools (e.g., H5P). Familiarity with SQL, Python, and/or R. Familiarity with experiential learning models and employer-aligned curriculum. Additional Details: Fully remote (U.S.-based applicants only; no visa sponsorship). 12-week development timeline (~65 total hours). Compensation: $3000 Pay Range Disclosure The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

About the Role: Gusto's Data Science team leverages our rich data to shape product strategy and inform critical business decisions. We operate end-to-end - from analysis and experimentation to enabling production systems that support both internal teams and our customers. For this role, we're seeking a Senior Manager, Data Science to provide technical and strategic leadership across the payments and treasury domains. You will lead teams responsible for building scalable, data-driven capabilities that support money movement, liquidity management, and payment reliability, while applying machine learning and analytics where they meaningfully add value. Experience with risk is a plus, but the primary focus of this role is payments and treasury. You'll partner closely with established leaders across Engineering, Product, Design, Operations, and Finance/Treasury to drive cross-functional alignment and execution. In this role, you'll own initiatives that span the breadth of the payments and treasury stack, setting direction, guiding teams, and ensuring we deliver a secure, reliable, and trusted financial platform that safeguards customer funds and supports Gusto's growing ecosystem. Here's what you'll do day-to-day: Lead the strategy and application of machine learning and advanced analytics across payments and treasury, including identifying opportunities, framing problems with stakeholders, defining success criteria, and guiding teams to deliver scalable, data-driven solutions; experience with risk use cases is a plus. Own end-to-end delivery and cross-functional execution, partnering closely with Engineering, Product, and Design to solve complex, ambiguous problems and ensure solutions are production-ready, well-instrumented, and operationally sound. Set technical standards and scalable frameworks that elevate the team's core analytical and modeling capabilities, including reusable tooling and thoughtful integration of AI/LLMs where they meaningfully improve data processing, analysis, or decision-making. Communicate insights, tradeoffs, and recommendations clearly to stakeholders across the company, influencing decisions through strong narratives grounded in data and business context. Here's what we're looking for: 10+ years of experience in data science, analytics, or a related quantitative field, including 4+ years leading and scaling data science teams, with accountability for hiring, developing senior ICs, and owning outcomes across one or more business-critical domains. Domain analytics and experimentation leadership - deep experience driving insights and decisions across payments, treasury, and risk domains (e.g., loss, fraud, disputes, authorization rates, funds flow, liquidity, and operational risk), with strong command of experimentation, causal analysis, and tradeoff evaluation in regulated, high-impact environments. Technical and analytical leadership - strong grounding in statistics and applied modeling, with the ability to set technical standards, review complex analyses, and coach senior data scientists, maintaining a high bar for analytical rigor and quality. Strategic business impact - demonstrated ability to translate ambiguous problems into data strategy, influence multi-quarter product and platform roadmaps, and connect insights to measurable business outcomes. Executive communication and cross-functional influence - proven experience partnering with VP-level and senior leaders across Product, Engineering, Ops and Finance teams, translating complex data into clear tradeoffs and actionable recommendations that drive decisions. If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team. Our cash compensation amount for this role is targeted at $184,000 - $227,000 /yr in Denver & most remote locations, and $217,000 - $267,000 /yr for San Francisco & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above. We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. We are actively hiring for the following Centers of Gravity: Toronto, Canada, Atlanta, GA, Austin, TX, Chicago, IL, Denver, CO, Los Angeles, CA, Miami, FL, and Seattle, WA. Our open roles will specify on the careers page and in the job description where the position is eligible for work.

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, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Director- Knowledge & Literacy Lead. This position has a primary location of Titusville, NJ but is also open to Springhouse, PA; New Brunswick, NJ; and Boston, MA. This position will require up to 25% travel. This position is also open to select EMEA sites. For candidates interested in Madrid, Spain or Zug, Switzerland please use requisition: R-043000 Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . About Johnson & Johnson Innovative Medicine Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at janssen.com. About the Role We are seeking a Director, Knowledge & Literacy Lead to drive the enterprise-wide flow of AI insights across Johnson & Johnson. This role ensures that AI-related knowledge is curated, contextualized, and made accessible to inform strategic decision-making and accelerate confident adoption across R&D. This position focuses on knowledge architecture, strategic insight development, and internal storytelling. The ideal candidate will possess deep technical fluency in AI, a strong scientific background, and the ability to translate complex developments into compelling narratives that resonate with diverse stakeholders. Key Responsibilities Executive Insight Development: Partner directly with the Chief Data Science Officer (CDSO) to develop high-impact executive briefings, strategic overviews, and thought leadership materials that synthesize emerging AI trends and their implications for R&D. AI Intelligence Translation: Monitor global AI advancements on a weekly basis and translate technical developments into strategic insights tailored to the needs of senior R&D leaders. Internal Innovation Storytelling: Collaborate with DSDH teams to identify, shape, and amplify internal AI tool success stories-crafting narratives that highlight their strategic value to R&D. Knowledge Architecture & Dissemination: Design and evolve a knowledge-sharing framework that ensures timely, structured, and scalable access to AI insights across the enterprise. Cross-Functional Collaboration: Engage with scientific, technical, and business stakeholders to identify knowledge gaps and deliver tailored, high-value content that supports AI literacy and adoption. Innovation in Communication: Leverage digital platforms and novel formats (e.g., interactive dashboards, visual storytelling, microlearning) to enhance the reach and resonance of AI insights. Qualifications PhD or equivalent advanced degree in a relevant scientific, technical, or data science discipline. Minimum 8 years of experience in pharmaceutical, biotech, healthcare, or life sciences, with at least 3 years in a strategic, consulting, or executive advisory capacity. Deep understanding of AI/ML technologies, including generative AI, and their application in R&D. Proven ability to synthesize complex technical information into clear, actionable insights for senior leadership. Strong storytelling and communication skills, with experience developing executive-level presentations and strategic narratives. Demonstrated success in cross-functional collaboration, particularly with data science, digital health, and R&D teams. Experience with knowledge management systems, digital communication tools, and insight dissemination platforms. 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 $160,000 - $276,000 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: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

Company Overview: At Labcorp, we believe in the power of science to change lives. We are nearly 70,000 people across 100 countries who are harnessing science for human good. Our work combines unparalleled diagnostic laboratories, drug development capabilities and commercial innovations. Together, we fuel scientific breakthroughs and deliver more than 160 million medical test results that help guide treatment decisions, accelerate patient care and change lives. Join us in our pursuit of answers. Labcorp 2026 Global Internship Program Exciting Internship Opportunity- Data Science and Artificial Intelligence- Remote (US) Join Labcorp's 2026 Global Internship Program and take the first step toward a meaningful career in healthcare innovation! We're looking for motivated students to be part of a dynamic 12-week paid internship where you'll work on impactful projects and gain real-world experience, all while supporting our mission to improve health and lives. Internship 2026 Dates: May 18, 2026 - August 7, 2026 About the Program As a Labcorp intern, you'll be immersed in hands-on work that complements your academic background. In addition to your project work, you'll gain valuable exposure to Labcorp's global business, culture, and leadership through: Enterprise-wide learning experiences that introduce you to key business functions across Labcorp Leadership exposure and visibility, including direct interaction with senior leaders An immersive, in-person intern event June 2-4, 2026 designed to connect you with peers and deepen your understanding of our mission Senior leader speaker sessions offering insights into strategy, innovation, and career growth Continuous opportunities to connect and grow, from intern cohort communication channels and LinkedIn Learning resources to professional development sessions and storytelling opportunities that highlight your internship journey Connection to Labcorp's inclusive culture through engagement with our employee resource groups (ERGs)and values-driven community initiatives Dedicated mentoring connections to guide your growth, provide career advice, and support your internship journey Internship Details Duration: 12 weeks, full-time Dates of Internship: May 18, 2026 - August 7, 2026 Location: Remote (US) Compensation: Paid internship; relocation assistance available for qualified candidates Eligibility: Preferred candidates are post graduate Masters or PHD students who are currently enrolled in a relevant degree program; however, all current students pursuing related studies are encouraged to apply. Why Labcorp? In 2025, we welcomed over 300 interns across our global offices. As part of the 2026 cohort, you'll join a diverse community of future leaders working to shape the future of diagnostics, biopharmaceutical lab services, corporate functions, and healthcare delivery. Ready to make a difference? Apply now to launch your career and create real impact for patients worldwide. #FutureofLabcorp About the Team: The Labcorp Artificial Intelligence team has pioneered real-time API integrations for model inference, deployed solutions leveraging state-of-the-art machine learning models, and continually brings advanced AI capabilities into practice to improve patient outcomes and business operations. Internship Assignment Summary: Machine Learning Model Development & Deployment: Design, develop, and deploy production-ready machine learning models through real-time API integrations, contributing to enterprise-scale AI solutions that directly impact patient care and healthcare delivery across Labcorp's global diagnostic operations. Generative AI Application & Innovation: Apply cutting-edge Generative AI techniques to solve complex healthcare and business challenges, working alongside experienced data scientists to implement state-of-the-art AI capabilities that enhance diagnostic workflows and operational efficiency. End-to-End AI Solution Implementation: Participate in the full lifecycle of AI solution delivery-from data exploration and model development to integration, testing, and monitoring-while gaining hands-on experience with enterprise-level machine learning infrastructure and best practices in a healthcare setting. Education/Qualifications/Skills: Working towards postgraduate degree in Science, Mathematics, Computer Science or other related field Has experience delivering multiple projects in an academic or professional setting Ability to collaborate with various stakeholders and internal/external colleagues Completed coursework in machine learning, data mining, and statistical analysis, applying learned concepts in real-world scenarios Experience in programming languages including Python, R, and SQL for data manipulation and analysis Embraces diverse ways of thinking through various forms collaboration and partnership This position is not eligible for visa sponsorship. Application Window: 01/26/26 - 01/29/2026 Pay Range: $35-$40 All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Ekimetrics is a global leader in Marketing Effectiveness and AI-powered solutions. Since 2006, we've been helping businesses optimize marketing and operations by combining AI with business and tech expertise across 4 domains: Marketing Effectiveness, Customer Analytics, Operational Excellence, ESG & sustainability. With a full in-house team and offices in Paris, London, New York, Hong Kong, and Shanghai, we deliver tailor-made solutions that turn data into real positive impact, leveraging our unique combination of technology and services. We excel at delivering AI impact at scale. Our mission is to harness this power to tackle the world's most urgent issues. We commit to responsibility and frugality in AI, systematic AI impact at scale, and loyalty to our values and DNA. Your Responsibilities As an intern at Ekimetrics, you will contribute to high-quality analytics projects for international clients across industries such as Auto, Beauty, Retail, and Financial Services. You will gain hands-on experience in marketing and customer analytics, working closely with Senior Business Scientists and Managers. Contribute to one major client project in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO) Clean, prepare, and manipulate data from multiple sources using Python, R, SQL, or Excel Support statistical and predictive modeling, including regression, econometrics, Bayesian methods, and marketing metrics. Help develop dashboards, charts, and visualizations to communicate insights effectively to clients and internal teams. Participate in client meetings and calls under supervision, contributing insights and helping translate analytics into practical recommendations Support the preparation of client deliverables, ensuring accuracy, quality, and timely delivery Take part in team knowledge-sharing sessions, learning from colleagues and sharing best practices where possible Take ownership of professional development, pursuing relevant certifications and training paths in programming, analytics, and data science Actively participate in office meetings, training sessions, and team initiatives Champion and role-model our core values: Curiosity, Creativity, Excellence, Generosity, and Enjoyment Your Profile Experience & Technical Skills 0-2 years of professional experience, including internships or graduate placements Bachelor's or Master's degree (or equivalent) in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field Basic knowledge of Python or R, and other analytics tools; willingness to learn more advanced techniques Understanding of statistical modeling, regression, econometrics, Bayesian statistics, and/or marketing metrics Ability to work with and clean large datasets while maintaining attention to quality Nice-to-have experience with Databricks, Azure, or MMM exposure Proficient in Microsoft Office (Excel, PowerPoint, Word) Soft Skills Analytical mindset, curiosity, and problem solving skills Ability to work autonomously while being a collaborative team member Strong communication skills to engage with clients and internal teams Interest in business challenges, marketing strategy, and results-oriented thinking Positive attitude, resilience, and sense of humor $2,800 - $2,800 a month What We Offer: At Ekimetrics, interns receive a monthly stipend of $2,800/mo. Career development and growth opportunities An emphasis on work-life balance Annual seminars and retreats Close knit team with friendly environment, bi-monthly team events and more Work closely with senior analysts and managers to develop technical, analytical, and client-facing skills. The Eki.Academy training catalogue: learning paths, solution- and role-specific programs, and Climate School environmental awareness courses. Gain exposure to international clients, multiple industries, and projects with real business impact. Opportunity to contribute to thought leadership, internal knowledge management, and innovation initiative. Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law. 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.

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: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine 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 Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. 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 #LI-Remote #LI-GR Required Skills: Preferred Skills: The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Data Science Intern This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Intern Education & Experience Required: Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: Engineering Job Level: N/A "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Hourly Salary USD 35.00 - 46.00 in Massachusetts // 35.00 - 46.00 in California // 35.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Job Description Adjunct Professor - Data Science Department: School of Computing and Data Science Location: Wentworth Institute of Technology Wentworth Institute of Technology is seeking adjunct professors to teach undergraduate and graduate courses in Data Science. We are dedicated to fostering educational excellence and preparing students for success in their fields. Position Summary: Adjunct professors are responsible for delivering course materials in a learner-centered environment, engaging students in the learning process, and supporting their academic success. Responsibilities include developing and teaching a range of courses, from introductory undergraduate classes to advanced graduate-level courses in Data Science. Key Responsibilities: Prepare syllabi and develop curricula to meet course requirements and student learning outcomes. Deliver engaging and effective instruction. Provide timely and constructive feedback on assignments and exams. Submit midterm and final grades, attendance records, and other required reports. Communicate consistently with students, faculty, and administrators. Required Qualifications: Master's degree in Data Science, Computer Science, or a related field. Teaching experience in a relevant subject area. Preferred Qualifications: PhD in Data Science or a related field. Experience teaching diverse student populations. Familiarity with online and remote teaching tools. Application Process: To apply, please submit a letter of interest and resume. Applications will be reviewed on a rolling basis until the positions are filled. Wentworth Institute of Technology is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position Details: At this time, the university is unable to sponsor applicants for H-1B visas. Adjunct faculty compensation varies based on instructional mode (lecture or lab), number of course credits, and program. The minimum adjunct rate is $1,365 per credit. Compensation and Benefits Wentworth Institute of Technology is committed to fair, transparent, and legally compliant compensation practices. We believe that clarity about pay structures and ranges supports equity, fosters trust, and ensures a positive workplace for all employees. Please visit here to see the comprehensive benefits package offered to support the best experience for our employees. https://wit.edu/careers/work-wentworth/benefits Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu. E-Verify for Employment Eligibility Verification (Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

About Teads Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 30+ countries. For more information, visit www.teads.com. About the opportunity We are seeking an Engineering Manager for our Data Science & AI department to join a team of passionate engineers and data scientists who build advertising solutions at world scale. We build and operate large-scale distributed machine learning systems that make 1B predictions per second during real-time auctions. What will you do? As the Engineering Manager of the team, you will: Build a long-term technical vision for the team that aligns with business goals and scales effective AI solutions. Inspire, mentor, and coach engineers and data scientists, fostering a culture of continuous learning and career development. Oversee the end-to-end delivery of projects, ensuring they meet requirements on time while maintaining a pragmatic balance between development velocity and code quality. Collaborate closely with Product, Engineering, and Operations teams to translate business needs into technical realities. Actively participate in architectural and scientific discussions, and contribute hands-on to feature implementation and code reviews. What will you bring to the team? Experience managing software or data teams, with a track record of mentoring both engineers and scientists. A keen sense of ownership over the full development lifecycle, with the ability to generalize specific technical problems into scalable product solutions. Sound, pragmatic knowledge of Agile methodologies and a history of delivering complex projects successfully. Strong background in Statistics or AI/ML, with the ability to apply the scientific method to engineering challenges (rigorous, detail-oriented, and curious). A passion for data-driven decision-making and the ability to solve complex problems with innovative solutions. Excellent command of English with the ability to articulate complex technical concepts to non-technical stakeholders. The team The global AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers Your peers will all have deep experience from on-line ad systems from Teads and previous companies. We are staying at the bleeding edge of research and technology The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes Please submit your CV in English. #LI-Hybrid Life at Teads At Teads, we don't just offer new roles - we blend creativity, technology, and data to shape the future of media. You'll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies. As a Teadster, you'll play a critical role in shaping our future success in the region. Here's why Teads stands out: We've merged two open internet category leaders-Outbrain and Teads-to create the 'new' Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web. As part of our team, you'll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning. Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role. Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups - employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you'll be able to share your passions with likeminded people.

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects. Responsibilities: Lead data science consulting engagements for pharma clients, ensuring business impact and value realization. Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases. Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges. Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs. Stay updated on emerging AI technologies, regulations, and best practices in pharma.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We're looking for a Manager, Data Science, Ads Ranking to join Snap Inc. What you'll do Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team Knowledge, Skills, Abilities: Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management Expertise in SQL and familiarity with Python Excellent communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Industrial knowledge in ad ranking or recommendation systems Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 7+ years of experience in quantitative analysis & data science or a related field 3+ years experience in a leadership role within a data organization Preferred qualifications Advanced degree in a quantitative field (Economics, Computer Science, Physics) Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc. Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance. Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $229,000-$343,000 annually. Zone B: The base salary range for this position is $218,000-$326,000 annually. Zone C: The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.

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: Multi-Family Data Analytics & Computational Sciences Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: 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. Our Immunology team leads in the development of transformational medicines for immunological disorders and illnesses. You can influence where medicine is going by restoring health to millions of people living with immune diseases. 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 Johnson and Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, is recruiting for a Director, R&D Data Science and Digital Health (DSDH) Immunology. The Director will report to the Executive Director, R&D Data Science and Digital Health Immunology. The primary and preferred location for this position is San Diego, CA. Consideration may be given for candidates who are or can be located near Spring House, PA; Titusville, NJ; or Cambridge. Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) Computer Vision and Digital Health (CVDH) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs and other relevant functions. Responsibilities Provide strategic input into the Immunology R&D DSDH CVDH priorities ranging from individual projects to large collaborations with internal functional areas and external institutions Work closely with the broader Data Science and Digital Health (DSDH) team and Immunology Therapeutic Area (TA) / Function Data Science teams to execute on critical data science initiatives (focused on computer vision-based endpoints and digital health solutions) to support delivery of the short and long-term J&J Innovative Medicine R&D Data Science and Digital Health strategy Collaborate with Immunology TA and functions in J&J Innovative Medicine R&D, the DSDH Insights & Analytics team, and DSDH Data Platform teams to conceive, develop, and execute on data science use-cases, build a roadmap to deliver the use-cases, from test and learn to scale up deployment Develop a deep understanding of the imaging and digital health data, technical solutions and partner ecosystem, align R&D data science use cases with the key data sets and partners (internal and external) Champion, build and drive large strategic and sophisticated DSDH projects to achieve the intended impact in a timely manner Perform detailed analyses, develop high quality materials, and communicate in critical executive forums to facilitate leadership decision making Other ad hoc responsibilities in support of the DSDH team's objectives and overall R&D objectives, as required Required Qualifications: MD, and/or PhD and/or Master's degree in data science, computer science, bioinformatics, biomedical engineering or applied mathematics; experience in in data science, bioinformatics, computer science 6+ years of progressive professional experience in clinical/academic environment, pharmaceutical R&D, data science, computer vision, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Familiarity with data science, computer vision, digital health space. Knowledge of Immunology. Knowledge of relevant healthcare datasets, such as EHR, or insurance claims. Preferred Advanced degree (e.g., MD, PhD, MBA or equivalent) Experience delivering data science projects using predictive technologies, data mining and/or text mining Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, machine learning and artificial intelligence in diagnostic medical imaging and digital health sensing data Ability to travel 25%, domestic and global The primary and preferred location for this position is San Diego, CA. Consideration may be given for candidates who are or can be located near Spring House, PA; Titusville, NJ; or Cambridge, MA. This role currently follows a hybrid schedule of three days in the office and two days remotely per week (no fully remote option). 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 internal candidates contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $164,000 to $282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. 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)). 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 Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JRDDS #JNJIMRND-DS #LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Roadmapping, Statistical Computing, Strategic Thinking, Tactical Planning, Technical Credibility

Job Description Senior Software Engineer, Data Science Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical/Innovation Center in Warren (MI), Austin (TX), or Mountain View (CA) three times per week, at minimum. This position can be located at any of these locations. Why Join Us General Motors is at the forefront of transforming transportation through software-driven innovation. We're driven by our bold vision of a future with Zero Crashes, Zero Emissions, and Zero Congestion. As we push forward into an era of vehicle intelligence and digital engineering, Artificial Intelligence and Data Science are a cornerstone of our strategy. Join a team at the forefront of innovation, where vehicle software design, release, warranty, and telemetry data converge to transform engineering and quality processes. We're pioneering intelligent automation through advanced prognostics powered by smart algorithms, large language models (LLMs), and machine learning driving faster issue resolution and launching vehicles with exceptional quality. We're looking for a Senior Software Engineer for Data Science to build scalable, AI-driven solutions that deliver measurable impact across engineering and customer experience. The Role As a Senior Software Engineer for Data Science, you will lead the development of scalable AI/ML powered analytics and prognostics applications in a cloud environment, driving innovation across vehicle telemetry and software integration domains. You'll collaborate cross-functionally with engineers, data scientists, and domain experts to deliver high-impact solutions that improve vehicle quality and customer satisfaction. You will contribute to executive decision-making, product launch strategies, and data-driven quality improvements while staying ahead in a fast-paced, evolving tech landscape. What You'll Do Prototype, and productionize scalable AI systems, with an emphasis on hybrid AI pipelines including LLMs. Lead AI/ML analysis of vehicle engineering and telemetry data ensuring robustness, interpretability, and physical relevance of outputs. Apply statistical methods, anomaly detection, and clustering to uncover patterns. Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights Leverage advanced data analytics and signal processing techniques to extract actionable insights from complex telemetry datasets Create interactive data visualizations to communicate and interpret complex data Design and build supervised and unsupervised ML models Develop and operationalize full-stack AI pipelines using MLOps practices (e.g., Docker, Kubernetes, FastAPI, MLFlow, cloud-native services). Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments. Ensure scalability, reproducibility, and performance of deployed models through well-defined evaluation, monitoring, and retraining mechanisms. Mentor junior level employees, providing coaching and guidance on difficult issues. Your Skills & Abilities (Required Qualifications) Bachelor's in Computer Science, Engineering, Mathematics, or related field, or equivalent work experience 5+ years of experience building and deploying advanced machine learning or deep learning systems in production. Strong experience in Python, major ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace Transformers), SQL, and signal processing libraries (PyWavelets, Tsfresh) Knowledge of ML modeling and toolsets (e.g. Scikit-learn, XGBoost for classification/regression tasks) Experience with MLOps tools and deploying models via containerized microservices on cloud platforms. Data Visualization using PowerBI, Databricks Apps, Azure Apps Exceptional analytical and independent problem-solving capabilities Strong listening and communication skills and ability to collaborate cross-functionally. Demonstrated ability to mentor junior level employees, providing coaching and guidance on difficult issues. What Will Give You a Competitive Edge (Preferred Qualifications) Master's or PhD in Computer Science, Engineering, Mathematics, or related field 7+ years of experience building and deploying advanced machine learning or deep learning systems in production. Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization. Demonstrated expertise with LLMs, transformer architectures, AI agents Experience in automotive domain GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.). Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate. The salary range for this role is $134,000 - $226,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. #LI-LL2 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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 Early Careers 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 roles across the company. If you are selected for consideration for a particular position a member of MITRE's Early Careers recruiting team will reach out to you. You can monitor your application status here: Workday (myworkdayjobs.com). Job Description Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines. As a recent graduate working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following: Data analysis and visualization Augmented decision making and trusted analytics AI architecture, strategy and policy AI-enhanced decision making and insights Generative AI and large language models Machine learning operations Applied math, statistics and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-gen data environments Basic Qualification Must have a Bachelor's, Master's or PhD degree in Data Science, Artificial Intelligence, Math, Statistics or a related degree/program Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting Sustained excellence in academic performance Preferred Qualifications Experience having applied data science, artificial intelligence, math, statistics or a related learning to an internship or research/lab position. Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods Experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting Proficiency in one or more of the following: Python (scikit-learn, NumPy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; database design & development (SQL, Neo4J, MongoDB); AWS Demonstrated interest in serving the public 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: $80,000 - $100,000 - $120,000 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.

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

Title: Graduate Student Intern- Data Science & Remote Sensing BELONG. CONNECT. GROW. with KBR. About Us At KBR, we deliver science, technology, and engineering solutions that help our customers accomplish their most critical missions. Join us at the Earth Resources Observation and Science (EROS) Center and help shape the future of Earth science data systems. As part of our mission-driven team, you'll contribute to projects that make a global impact, supporting research, innovation, and technology that empower scientists and decision-makers worldwide. Overview: We are seeking a highly motivated graduate student with a strong background in data science and deep learning to contribute to projects at the intersection of satellite remote sensing and AI-driven analytics. The intern will collaborate with scientists at EROS who provide domain expertise in remote sensing physics, while the intern focuses on advanced machine learning techniques for geospatial applications. Must have Three years of continuous residency in the US * Key Responsibilities: Develop and implement deep learning models for remote sensing applications, with emphasis on: Designing custom Convolutional Neural Networks (CNNs) for domain adaptation (e.g., transferring Landsat standards to UAS imagery). Writing custom loss functions and leveraging automatic differentiation in frameworks like PyTorch or TensorFlow. Work with geospatial datasets and apply preprocessing techniques for radiometric calibration. Collaborate with domain experts to integrate physics-based constraints into AI models. Understands converting raw digital numbers (DN) to Top-of-Atmosphere (TOA) reflectance and at-sensor radiance. Required Skills & Knowledge: Deep Learning & AI Architectures: Proficiency in PyTorch or TensorFlow. Experience with CNN design, optimization methods, and domain adaptation. Programming: Strong coding skills in Python (and optionally C++) for scientific computing. Remote Sensing Fundamentals: Familiarity with BRDF concepts, multispectral/hyperspectral data, and geospatial formats (e.g., GDAL). Mathematical Foundations: Solid understanding of linear algebra, multivariable calculus, and optimization techniques. Recommended Academic Background: Candidates should have completed coursework in the following areas: Artificial Intelligence: Deep Learning, Computer Vision, Physics-Informed Neural Networks, Optimization Methods. Remote Sensing: Multispectral and Hyperspectral Remote Sensing. Geospatial Science: Geospatial data formats and tools (e.g., GDAL). Mathematics/Physics: Linear Algebra, Multivariable Calculus, Electromagnetic Theory. Computer Science: Python or C++ for scientific computing. Preferred Qualifications: Prior experience with geospatial data analysis or remote sensing projects. Ability to work independently and collaborate effectively in a multidisciplinary team. Special Requirements Three years of continuous residency in the US for issuance of a Government Security credential. The candidate must be able to obtain and maintain a national agency check and background investigation after hiring to obtain a badge for government facility access and user account. Experience and/or education in lieu of these qualifications will be reviewed for applicability. Experience and/or Education in lieu of these qualifications will be reviewed for applicability to meet these requirements. KBR partners with several other companies to fulfill its requirements as a government contractor. The selected subcontracting companies align their benefits as closely as possible to those above. KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development. Click here to learn more: KBR Benefits #LI-EM2 Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver- Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

IQVIA Information Partner Services team is hiring an Associate Data Science Director who will work with extremely complex data and methodologies in a fast-paced, ever-changing environment answering critical business questions for retail pharmacy and wholesaler clients. Combining modern analytic tools, methodologies, and challenging requests, this crucial role will help mold the way our team approaches analysis and builds data-driven analytics products. In addition, provide mentorship to the team and serve as a key liaison for our team with the client account team. Essential Functions Partner with pharmacy retailers and/or wholesalers and their IQVIA account teams to identify analytical and technical solutions, including appropriate data assets, statistical / machine learning models, algorithms and visualizations, that guide direct business transformation (analytical approaches that may be used include optimization, simulation, regression, mixed models, classification models, pattern recognition, machine learning, and deep learning).Design and implement stable, scalable and cost-effective data-centric solutions to complex business problems where analysis requires an in-depth knowledge of pharmacy retailer organizational objectives and data science domain expertise. Clear and concise articulation, presentation, and documentation of analytic and technical opportunities, constraints, recommendations, and action items to both internal and external senior management audiences.Research and analyze market landscapes and emerging platforms, patterns, practices, and methodologies to drive differentiated service offerings for clients and foster greater professional development opportunities for internal talent. Build expertise in cross-platform applications of IQVIA assets with a specialization in encrypted patient-level longitudinal healthcare claims data.Proactively manage own project timelines, risks and challenges and work out mitigation alternatives with the team under minimum supervision. Knowledge, Skills & Abilities Knowledge of pharmaceutical market and experience with encrypted patient-level/longitudinal healthcare claims.Advanced use of statistical programming languages (SQL, R, Python, SAS) to manipulate data and build statistical and machine learning models. Demonstrable consulting, analytical, interpretative, and problem-solving skills and proven ability to develop innovative approaches through creativity and critical thinking.Knowledge and experience with statistical and data mining concepts including multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, propensity matching, scenario analysis, simulation, advanced modeling and machine learning techniques. Ability to manage client relationships, establish realistic expectations, evaluate and propose strategies that meet client needs, negotiate analysis needs and associated value.Excellent understanding of handling Big Data along with a drive to learn and master new techniques and technologies. Working knowledge of large-scale distributed data/computing tools such as Hadoop, Hive, Impala, Spark, etc.Strong organization and project planning skills, ability to perform multiple tasks simultaneously with minimal supervision while achieving quality standards and meeting deadlines. Knowledge of data reporting/manipulation and business intelligence tools such as RapidMiner, Spotfire, and/or Tableau.Excellent written and verbal communication skills, strong interpersonal skills, detail-oriented, and ability to work collaboratively across teams. Ability to work creatively and independently to carry out assignments of a complex nature.Willingness to learn new methodology, new technology, and new tools that will enhance offerings for retail pharmacy and wholesaler clients. Qualifications Degree requirements include one of the following with other knowledge/skills: Bachelors-level degree in Statistics, Data Science, IT, Computer Science, Mathematics, Physics, or another related field with at least ten years relevant pharmaceutical/health insurance/retail experienceMasters-level degree in Statistics, Data Science, IT, Computer Science, Mathematics, Physics, or another related field with at least six years relevant pharmaceutical/health insurance/retail experience Strong working knowledge of advanced SQL and other statistical programming languages, such as R, Python, and SASIn-depth knowledge of complex statistical methods Familiarity with retail pharmacy and/or health insurance operationsPrevious experience working collaboratively with internal and external teamsExcellent interpersonal and organization skills IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe The potential base pay range for this role, when annualized, is $98,200.00 - $273,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Make your mark for patients To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Analytics Lead opening. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. This role can be hybrid (40% on site precence in Atlanta, Raleigh or Boston) or Remote (up to 20% onsite presence) and requires 5-10% international/ domestic travel. About the role You will help to inform on the commercial viability of various assets in development. You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs within Patient Solutions and Patient Evidence. Who you'll work with You will co-create with Integrated Insights Leads from early asset and late stage (Phase 0-3) teams, Real world evidence teams, Translational Medicine and Bioinformatics, Clinical operations, clinical recruitment, and asset teams, new product planning teams, Commercial teams, Medical Affairs, Market Access, Finance, and IT. Externally, you will work with data and analytics vendors and partners. What you'll do Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact Deliver the most impactful data and analytics projects that: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Patient Solutions and Evidence Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources. Team Leadership. Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations Drive the execution of regional and local data-driven insights research and data analytics plans and priorities Foster a strong data science community with significant business acumen and communication skills across Hubs and Engine and Supervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results. Improve the team's partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by: developing and executing a communication and collaboration plan with key UCB stakeholders increasing personal and the Advanced Analytics team's knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members Drive deep partnership with the Hub insights team and other "fellow" Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is required Minimum of 8-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation is required At least 8 years of experience working with real world data (Claims data, EMR, IQVIA, -omics, etc) Minimum of 8-10+ years of experience with programming and application development using Python or R is preferred Preferred Experience/Skills: Master/Doctor's degree in quantitative area Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments Deep expertise in leveraging data science methodologies within the Research and Development and Clinical trials sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges You are a structured problem solver Possess an 80/20 mindset to push for fast model iterations Interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation) Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours) Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities. Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. Requisition ID: 91962 Recruiter: Parth Suthar Hiring Manager: Eric Dickinson Talent Partner: Cornelius Luedtke Job Level: MM I Please consult HRAnswers for more information on job levels.

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.