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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Bangalore, Karnataka, India, Beerse, Antwerp, Belgium, Madrid - Lafinca, PENJERLA, Telangana, IndiaJob 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 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.
Required Skills:
Preferred Skills:
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 CredibilitySkills Required
- 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 real-world data capabilities
- Experience setting technical direction and driving strategy, product scaling, governance, and adoption through measurable impact
- Expertise in predictive modeling, optimization, simulation, GenAI, and real-world data 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
- Strong 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 in a relevant quantitative discipline
- Experience in pharmaceutical development, clinical research, clinical operations, real-world evidence, healthcare, or MedTech
- Experience establishing AI, analytics, or real-world data 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
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
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