Principal Data Scientist DDSAI GD

Johnson & Johnson Innovative Medicine; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Johnson & Johnson Innovative Medicine in Hyderabad seeks a Principal Data Scientist to lead end-to-end delivery of integrated analytics solutions for defined clinical‑development and trial‑operations business problems. This role owns solution definition, delivery, adoption, and use‑case outcomes across connected stakeholder groups using ML, GenAI, optimization, and RWD.

The position requires 5+ years of experience delivering data‑science solutions with strong leadership, collaboration, and

Qualifications

• Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred.
• At least 5 years of industry experience leading end‑to‑end data‑science delivery using ML, predictive modeling, optimization, NLP, GenAI, or RWD analytics.
• Hands‑on experience with structured and unstructured clinical, operational, or RWD data, including multimodal modeling and time‑series or simulation methods.
• Proficiency in Python and SQL, modern ML, optimization, and LLM‑development libraries, and reproducible MLOps practices.
• Strong communication, stakeholder‑management, and technical‑leadership skills.

Responsibilities

• Own the end‑to‑end definition, development, validation, deployment, and adoption of integrated data‑science solutions for defined business problems.
• Lead predictive modeling, simulations, optimization, and GenAI applications for study feasibility, enrollment forecasting, country and site selection, protocol design, and operational planning.
• Apply clinical, operational, cost, and real‑world data to generate evidence on patient populations, treatment pathways, feasibility, and operational risks.
• Lead RWD analytics that inform protocol feasibility, eligibility criteria, recruitment and retention, study design, comparative evidence, and external‑control use cases.
• Develop LLM‑enabled workflows for information extraction, protocol comparison, data harmonization, clinical‑concept interpretation, and targeted workflow automation.
• Partner with clinical, operational, technology, and data stakeholders to frame questions, manage trade‑offs, and translate outputs into adopted recommendations and measurable use‑case outcomes.
• Apply model‑validation, MLOps, documentation, privacy, data‑quality, and responsible‑AI standards; contribute reusable code, data assets, and technical patterns.
• Communicate methods, model outputs, assumptions, limitations, and decisions clearly to technical and nontechnical audiences.
• Mentor junior colleagues and strengthen delivery practices across project teams.

Skills

Advanced Analytics

Coaching

Critical Thinking

Data Analysis

Data Privacy Standards

Data Quality

Data Reporting

Data Savvy

Data Science

Data Visualization

Digital Fluency

Econometric Models

Organizing

Process Improvements

Strategic Thinking

Technical Credibility

Workflow Analysis

Education

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

PhD preferred

Tools

Python

SQL

ML frameworks

LLM development tools

Job description

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

Hyderabad, Andhra Pradesh, India

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science‑based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Job Summary

J&J Innovative Medicine – Data, Data Science, and AI - Global Development (DDSAI GD) is seeking a Principal Data Scientist to lead end‑to‑end delivery of integrated analytical solutions for defined clinical‑development and trial‑operations business problems. This role owns solution definition, delivery, adoption, and use‑case outcomes across connected stakeholder groups using ML, GenAI, optimization, and RWD.

Key Responsibilities

• Own the end‑to‑end definition, development, validation, deployment, and adoption of integrated data‑science solutions for defined business problems.
• Lead predictive modeling, simulations, optimization, and GenAI applications for study feasibility, enrollment forecasting, country and site selection, protocol design, and operational planning.
• Apply clinical, operational, cost, and RWD—including EHR, claims, registries, and clinical‑trial data—to generate evidence on patient populations, treatment pathways, feasibility, and operational risks.
• Lead RWD analytics that inform protocol feasibility, eligibility criteria, recruitment and retention, study design, comparative evidence, and external‑control use cases.
• Develop LLM‑enabled workflows for information extraction, protocol comparison, data harmonization, clinical‑concept interpretation, and targeted workflow automation.
• Partner with clinical, operational, technology, and data stakeholders to frame questions, manage trade‑offs, and translate outputs into adopted recommendations and measurable use‑case outcomes.
• Apply model‑validation, MLOps, documentation, privacy, data‑quality, and responsible‑AI standards; contribute reusable code, data assets, and technical patterns.
• Communicate methods, model outputs, assumptions, limitations, and decisions clearly to technical and nontechnical audiences.
• Mentor junior colleagues and strengthen delivery practices across project teams.

Required Qualifications

• Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred.
• At least 5 years of industry experience leading end‑to‑end delivery of data‑science solutions using ML, predictive modeling, optimization, NLP, GenAI, or RWD analytics.
• Demonstrated experience defining, validating, deploying, and driving adoption of analytical solutions that inform clinical‑development, clinical‑operations, or real‑world evidence decisions.
• Hands‑on experience with structured and unstructured clinical, operational, or RWD data, including multimodal modeling and time‑series or simulation methods.
• Proficiency in Python and SQL, modern ML, optimization, and LLM‑development libraries, and reproducible MLOps practices.
• Strong communication, stakeholder‑management, and technical‑leadership skills.

Preferred Qualifications

• Experience in healthcare, pharmaceutical development, MedTech, clinical development, or clinical operations.
• Experience applying RWD methods to clinical‑trial design, including target‑trial emulation, propensity methods, survival analysis, or time‑to‑event analysis.
• Experience delivering analytical products or applications used by clinical or business teams.

Required Skills

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

Preferred Skills

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis