Senior Principal Data Scientist

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 h3bJob Function: /b /h3 pData Analytics Computational Sciences /p h3bJob Sub Function: /b /h3 pData Science /p h3bJob Category: /b /h3 pScientific/Technology /p h3bAll Job Posting Locations: /b /h3 pBangalore, Karnataka, India, Beerse, Antwerp, Belgium, Madrid
- Lafinca, PENJERLA, Telangana, India /p h3bJob Description: /b /h3 h3bJob Summary /b /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 h3bKey Responsibilities /b /h3 ul lipSet strategy and lead cross-functional programs that scale reusable ML, GenAI, optimization, and RWD products, platforms, and governance across Global Development. /p /li lipDirect the design, deployment, and lifecycle management of reusable analytical platforms and products spanning clinical operations, feasibility, patient access, quality, and portfolio efficiency. /p /li lipDefine 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. /p /li lipEstablish standards for solution architecture, validation, monitoring, governance, risk management, data quality, privacy, and responsible AI deployment. /p /li lipPartner with senior leaders to prioritize high-value opportunities, shape roadmaps, manage strategic trade-offs, and drive scaled adoption across functions and therapeutic areas. /p /li lipMeasure and improve portfolio impact through product reuse, user adoption, cross-functional value, and performance against agreed outcomes. /p /li lipBuild organizational capability through reusable frameworks, productized solutions, shared practices, and mentorship of technical talent. /p /li lipServe as a senior technical advisor across clinical, operational, technology, and data functions. /p /li /ul h3bRequired Qualifications /b /h3 ul lipMaster’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred. /p /li lipAt least 8 years of industry experience leading cross-functional programs and reusable data-science, AI, optimization, GenAI, or RWD capabilities. /p /li lipDemonstrated experience setting technical direction and driving strategy, product scaling, governance, and adoption from opportunity identification through measurable impact. /p /li lipExpertise in predictive modeling, optimization, simulation, GenAI, and RWD analytics in clinical development, clinical operations, healthcare, or a comparably complex regulated environment. /p /li lipExperience overseeing production-ready analytical products or platforms with clear validation, performance-monitoring, and lifecycle-management standards. /p /li lipStrong knowledge of model governance, MLOps, privacy, data quality, risk management, and responsible AI. /p /li lipProven executive influence and experience developing technical talent and cross-functional capability. /p /li /ul h3bPreferred Qualifications /b /h3 ul lipExperience in pharmaceutical development, clinical research, clinical operations, real-world evidence, healthcare, or MedTech. /p /li lipExperience establishing AI, analytics, or RWD strategy across multiple programs, therapeutic areas, or enterprise functions. /p /li lipExperience leading analytics initiatives for feasibility, site and country selection, enrollment, patient access, protocol optimization, quality, or portfolio planning. /p /li /ul h3bRequired

Skills:
/b /h3 h3bPreferred

Skills:
/b /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 Plannin