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

• Masters 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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