# Senior Principal Data Scientist at Johnson & Johnson

Johnson & Johnson is hiring a Senior Principal Data Scientist in Bengaluru, India. Level rates it Builds AI ●●●●; you can [apply on Johnson & Johnson](https://jobsbylevel.com/go/31fde33a-3e37-489e-bc5f-1feb748db681?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Bangalore, Karnataka, India.

## Details

- Company: [Johnson & Johnson](https://jobsbylevel.com/companies/johnson-johnson)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Bangalore, Karnataka, India
- Posted: October 22, 2026
- Apply: https://jobsbylevel.com/go/31fde33a-3e37-489e-bc5f-1feb748db681?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-principal-data-scientist-at-johnson-johnson-1637fd

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## Description

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 jnj.com . As 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. Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Bangalore, Karnataka, India, Beerse, Antwerp, Belgium, Madrid - Lafinca, PENJERLA, Telangana, India Job Description: Job Summary J&J 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. Key Responsibilities Set strategy and lead cross-functional programs that scale reusable ML, GenAI, optimization, and RWD products, platforms, and governance across Global Development. Direct the design, deployment, and lifecycle management of reusable analytical platforms and products spanning clinical operations, feasibility, patient access, quality, and portfolio efficiency. Define 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. Establish standards for solution architecture, validation, monitoring, governance, risk management, data quality, privacy, and responsible AI deployment. Partner with senior leaders to prioritize high-value opportunities, shape roadmaps, manage strategic trade-offs, and drive scaled adoption across functions and therapeutic areas. Measure and improve portfolio impact through product reuse, user adoption, cross-functional value, and performance against agreed outcomes. Build organizational capability through reusable frameworks, productized solutions, shared practices, and mentorship of technical talent. Serve as a senior technical advisor across clinical, operational, technology, and data functions. Required Qualifications Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred. At least 8 years of industry experience leading cross-functional programs and reusable data-science, AI, optimization, GenAI, or RWD capabilities. Demonstrated experience setting technical direction and driving strategy, product scaling, governance, and adoption from opportunity identification through measurable impact. Expertise in predictive modeling, optimization, simulation, GenAI, and RWD analytics in clinical development, clinical operations, healthcare, or a comparably complex regulated environment. Experience overseeing production-ready analytical products or platforms with clear validation, performance-monitoring, and lifecycle-management standards. Strong knowledge of model governance, MLOps, privacy, data quality, risk management, and responsible AI. Proven executive influence and experience developing technical talent and cross-functional capability. Preferred Qualifications Experience in pharmaceutical

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