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Senior Principal Data Scientist

Johnson & Johnson
Bengaluru, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 days ago

Full Job Posting

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 development, clinical research, clinical operations, real-world evidence, healthcare, or MedTech.
  • Experience establishing AI, analytics, or RWD strategy across multiple programs, therapeutic areas, or enterprise functions.
  • Experience leading analytics initiatives for feasibility, site and country selection, enrollment, patient access, protocol optimization, quality, or portfolio planning.
  • Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred.
  • Advanced 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

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