Senior Principal Data Scientist

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 .

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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, eng...