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Senior Principal Data Scientist
Johnson & Johnson. Set strategy and lead cross-functional programs scaling reusable ML, GenAI, optimization, and RWD products, platforms, and governance across Global Development .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading cross-functional programs focused on reusable ML, GenAI, and RWD analytics, with a strong emphasis on governance, data quality, and responsible AI deployment. Proven ability to drive strategy, product scaling, and measurable impact in complex regulated environments.
Highest-signal resume keywords
Reusable Data-Science CapabilitiesPredictive ModelingMLOpsData QualityStrategic Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GenAIRWD AnalyticsOptimizationPredictive ModelingSimulationData AnalysisData VisualizationEconometric ModelsAnalytical PlatformsLifecycle Management
Soft Skills
Critical ThinkingMentorshipDigital FluencyTactical PlanningExecutive Influence
Certifications & Qualifications
Master’s DegreePhD Preferred
Industry Keywords
Clinical OperationsHealthcarePharmaceutical DevelopmentReal-World EvidenceClinical ResearchData Privacy Standards
About the role
Key responsibilities & impact- Set strategy and lead cross-functional programs scaling reusable ML, GenAI, optimization, and RWD products, platforms, and governance across Global Development
- Direct design, deployment, and lifecycle management of reusable analytical platforms and products for clinical operations, feasibility, patient access, quality, and portfolio efficiency
- Define and scale RWD analytics using EHR, claims, registries, and clinical-trial data
- Establish standards for solution architecture, validation, monitoring, governance, risk management, data quality, privacy, and responsible AI deployment
- Partner with senior leaders to prioritize opportunities, shape roadmaps, manage strategic trade-offs, and drive scaled adoption
- Measure and improve portfolio impact through product reuse, user adoption, cross-functional value, and agreed outcomes
- Build organizational capability through reusable frameworks, productized solutions, shared practices, and mentorship
- Serve as a senior technical advisor across clinical, operational, technology, and data functions
Requirements
What you’ll need- Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline
- At least 8 years of industry experience leading cross-functional programs and reusable data-science, AI, optimization, GenAI, or RWD capabilities
- 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 validation, performance-monitoring, and lifecycle-management standards
- Knowledge of model governance, MLOps, privacy, data quality, risk management, and responsible AI
- Executive influence and experience developing technical talent and cross-functional capability
- PhD preferred
- Preferred experience in pharmaceutical development, clinical research, clinical operations, real-world evidence, healthcare, or MedTech
- Preferred experience establishing AI, analytics, or RWD strategy across multiple programs, therapeutic areas, or enterprise functions
- Preferred experience leading analytics initiatives for feasibility, site and country selection, enrollment, patient access, protocol optimization, quality, or portfolio planning
- 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
Benefits
Comp & perks- Inclusive work environment
- Employee diversity and dignity commitments
- Mentorship of technical talent