Senior Scientist, Data Science

h3Job Function /h3 pData Analytics Computational Sciences /p h3Job Sub Function /h3 pData Science /p h3Job Category /h3 pScientific/Technology /p h3All Job Posting Locations /h3 pMadrid, Spain, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America, Turnhout, Antwerp, Belgium /p h3Job Description /h3 h3POSITION SUMMARY /h3 pThe RD Data, Data Science AI (DDSAI) organization is seeking a Senior Scientist, Data Science to serve as a hands‑on technical individual contributor who builds, tests, validates, and refines applied AI/ML and statistical models that support Therapeutics Development Supply (TDS). This individual contributor will partner with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical, high‑impact data science and machine learning models that support core TDS responsibilities across CMC development, pharmaceutical product development, dossier preparation, technical development, and clinical supply. The ideal candidate brings strong quantitative depth, a background in CMC development, fluency with data science tooling, and a proven record of delivering analytical solutions with real‑world impact. /p h3Key Responsibilities /h3 h3Applied AI/ML Model Development /h3 ul liBuild, test, validate, and iterate on AI/ML models for TDS use cases under the guidance of senior data scientists and the AI Solutions Director. /li liTranslate complex scientific and business questions into tractable modeling problems, selecting fit‑for‑purpose methods based on the data, decision context, assumptions, and expected business impact. /li liConduct exploratory data analysis, feature engineering, model selection, hyperparameter tuning, and performance evaluation. /li /ul h3Technical Delivery Software Development Discipline /h3 ul liDevelop clean, well‑documented analytical code using Python and modern data science tooling, including cloud‑based services. /li liFollow software engineering best practices: version control, testing, documentation, reproducibility, and code review. /li liUse modern development environments, including AI‑assisted coding tools where appropriate, to accelerate delivery while maintaining quality, transparency, and maintainability. /li /ul h3Cross‑Functional Collaboration /h3 ul liWork with TDS domain experts (scientists, engineers, quality professionals) to understand data, context, and requirements and design ML/AI solutions based on those requirements. /li liSupport multiple concurrent projects, managing tasks and communicating progress to the team lead. /li liParticipate in team technical reviews, cross‑functional capability groups, and capability‑building activities. /li /ul h3Qualifications /h3 h3Required /h3 ul liAdvanced degree in Data Science, Statistics, Computer Science, Engineering, Chemistry, Physics, or a related quantitative discipline. /li li1–3 years of relevant experience in applied data science, machine learning, or statistical modeling (including graduate research). /li liProficiency in Python and common data science libraries (scikit‑learn, pandas, numpy, PyTorch, TensorFlow). /li liStrong analytical and problem‑solving skills. /li liGood communication skills and ability to work collaboratively in cross‑functional teams. /li /ul h3Preferred /h3 ul liPh.
D. in Mathematics, Statistics, Engineering, Chemical Engineering, Computer Science, Data Science, Operations Research, Chemistry, Physics, Pharmaceutical Sciences, or another related quantitative or scientific discipline. /li liExperience with pharmaceutical, bioprocess, manufacturing, or healthcare data. /li liFamiliarity with experimental design, Bayesian methods, or scientific computing. /li liExposure to developing and/or deploying agent‑based AI solutions. /li liExposure to cloud‑based data science environments (AWS, Snowflake). /li /ul h3Why This Role Is Unique /h3 pThis is a rare opportunity to grow in one of the world’s most ambitious and fast‑growing RD Data Science organizations, shaping how applied AI/ML and advanced analytics transform Therapeutics Development Supply. Your work will directly support CMC development, clinical supply, dossier preparation, and the broader development‑to‑supply continuum, helping Johnson Johnson accelerate scientific decision‑making, improve development execution, and deliver next‑generation therapies to patients globally. /p pJohnson 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. /p pJohnson Johnson is committed to provid