Senior Principal Data Scientist

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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 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.

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