Senior Principal Data Scientist, GenAI

pAt Johnson Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 jnj.com. /p pAs guided by Our Credo, Johnson Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson Johnson, we respect the diversity and dignity of our employees and recognize their merit. /p 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 pBangalore, Karnataka, India, Beerse, Antwerp, Belgium, Madrid
- Lafinca, PENJERLA, Telangana, India /p h3Job Description /h3 h3Job Summary /h3 pJJ Innovative Medicine – Data, Data Science, and AI
- Global Development (DDSAI GD) is seeking a Senior Principal Data Scientist to set strategy and scale reusable analytical products across Global Development. This role leads cross-functional programs, platforms, governance, and adoption for ML, GenAI, optimization, and RWD capabilities that strengthen clinical operations, feasibility, patient access, quality, and portfolio performance. /p h3Key Responsibilities /h3 ul liSet strategy and lead cross-functional programs that scale reusable ML, GenAI, optimization, and RWD products, platforms, and governance across Global Development. /li liDirect the design, deployment, and lifecycle management of reusable analytical platforms and products spanning clinical operations, feasibility, patient access, quality, and portfolio efficiency. /li liDefine and scale RWD analytics capabilities using EHR, claims, registries, and clinical-trial data to generate decision-grade evidence for study and program design, patient populations, feasibility, and operational strategy. /li liEstablish standards for solution architecture, validation, monitoring, governance, risk management, data quality, privacy, and responsible AI deployment. /li liPartner with senior leaders to prioritize high-value opportunities, shape roadmaps, manage strategic trade-offs, and drive scaled adoption across functions and therapeutic areas. /li liMeasure and improve portfolio impact through product reuse, user adoption, cross-functional value, and performance against agreed outcomes. /li liBuild organizational capability through reusable frameworks, productized solutions, shared practices, and mentorship of technical talent. /li liServe as a senior technical advisor across clinical, operational, technology, and data functions. /li /ul h3Required Qualifications /h3 ul liMaster’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred. /li liAt least 8 years of industry experience leading cross-functional programs and reusable data-science, AI, optimization, GenAI, or RWD capabilities. /li liDemonstrated experience setting technical direction and driving strategy, product scaling, governance, and adoption from opportunity identification through measurable impact. /li liExpertise in predictive modeling, optimization, simulation, GenAI, and RWD analytics in clinical development, clinical operations, healthcare, or a comparably complex regulated environment. /li liExperience overseeing production-ready analytical products or platforms with clear validation, performance-monitoring, and lifecycle-management standards. /li liStrong knowledge of model governance, MLOps, privacy, data quality, risk management, and responsible AI. /li liProven executive influence and experience developing technical talent and cross-functional capability. /li /ul h3Preferred Qualifications /h3 ul liExperience in pharmaceutical development, clinical research, clinical operations, real-world evidence, healthcare, or MedTech. /li liExperience establishing AI, analytics, or RWD strategy across multiple programs, therapeutic areas, and enterprise functions. /li liExperience leading analytics initiatives for feasibility, site and country selection, enrollment, patient access, protocol optimization, quality, or portfolio planning. /li /ul h3Required Skills /h3 h3Preferred Skills /h3 pAdvanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility /p