Senior Principal Data Scientist

Johnson & Johnson Co.; Beerse; On-site; EUR 120,000 - 160,000; Full time

Job summary

Johnson & Johnson's DDSAI GD unit seeks a Senior Principal Data Scientist to set strategy and scale reusable analytics across Global Development. You will lead programs spanning ML, GenAI, optimization, and RWD capabilities to strengthen clinical operations, feasibility, patient access, quality, and portfolio performance.

You will partner with senior leaders to shape roadmaps, drive adoption, and mentor technical talent while ensuring governance, privacy, and responsible AI.

Qualifications

• Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred.
• 8+ years leading cross-functional data-science, AI, optimization, GenAI, or RWD programs.
• Experience setting technical direction and driving adoption across programs.

Responsibilities

• Set strategy and lead cross-functional programs scaling ML, GenAI, optimization, and RWD products.
• Design, deploy, and manage reusable analytical platforms for clinical operations, feasibility, and portfolio performance.
• Define RWD analytics using EHR, claims, registries, and trial data to guide study design and operational strategy.

Skills

ML/GenAI

RWD analytics

Cross-functional leadership

Strategy & governance

Productization

Education

Master’s degree in quantitative field

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Bangalore, Karnataka, India, Beerse, Antwerp, Belgium, Madrid - Lafinca, PENJERLA, Telangana, India

Job 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 Credibility