Senior Principal Data Scientist

Johnson & Johnson Co.

Bengaluru

On-site

INR 5,000,000 - 7,500,000

Full time

2 days ago

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Benefits offered by this job

Health insurance

Annual bonus potential

Job summary

Johnson & Johnson seeks a Senior Principal Data Scientist to set strategy and scale reusable analytics across Global Development. You will lead cross-functional programs, governance, and adoption for ML, GenAI, and RWD capabilities, strengthening clinical operations and portfolio performance.

You will define standards, mentor talent, and partner with senior leaders to prioritize high-value opportunities. Strong background in predictive modeling and data governance is required.

Qualifications

Master’s degree or PhD preferred with 8+ years in data science, AI, or RWD in healthcare.
Experience leading cross-functional programs and scalable analytics platforms.
Proven ability to set technical direction and drive adoption with measurable impact.

Responsibilities

Set strategy and lead cross-functional programs scaling ML, GenAI, optimization, and RWD across Global Development.
Design, deploy, and govern reusable analytical platforms spanning operations and portfolio efficiency.
Scale RWD analytics using EHR, claims, registries, and trial data for decision-grade evidence.
Establish standards for architecture, validation, monitoring, privacy, and responsible AI.
Partner with senior leaders to shape roadmaps and drive adoption across functions.

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

Education

Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred.

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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