Principal Data Scientist, AI & Clinical Ops Optimization

Johnson & Johnson Innovative Medicine; Cambridge (MA); On-site; USD 117,000 - 201,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks a Principal Scientist to lead ML, optimization, and GenAI initiatives across Global Development, applying ML models to enrollment forecasting, cost estimation, and site selection. You will work with real-world data, EHRs, and CTMS, translating complex methods for diverse partners while mentoring junior colleagues.

Candidates should have a PhD in a quantitative field and 5+ years in healthcare data science, with strong Python, ML tools, and MLOps

Qualifications

• PhD in a quantitative discipline (computer science, ECE, biostatistics, health economics, biomedical informatics, applied mathematics, or similar).
• 5+ years of industry experience delivering data science projects (ML modeling, optimization, GenAI).
• Experience with multi-modal ML modeling and stochastic simulations for time-series forecasting.
• Experience building multi-objective optimization engines using evolutionary algorithms, RL, or MILP.
• GenAI and clinical LLMs for document parsing and harmonization.
• Proficiency with Python and SQL; experience with LLM tools and ML libraries.
• Familiarity with clinical operational data, real-world data, EHRs, and claims.

Responsibilities

• Conceive, develop, and implement ML, multi-objective optimization, GenAI to support clinical trial operations.
• Build ML predictive models and optimization engines using RWD, cost data to forecast outcomes and optimize scenarios.
• Adapt LLMs for information extraction and analytics across trial protocols, data harmonization, and eligibility evaluation.
• Run stochastic enrollment simulations to forecast patient journey outcomes and study completion.
• Communicate technical methods and results clearly to diverse stakeholders to drive decisions.
• Coach and train junior colleagues in techniques, processes, and responsibilities.

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

PhD in quantitative discipline

Tools

MLflow

Kedro

Git / CI/CD stacks

Jenkins

GitLab

Job description

Johnson & Johnson Innovative Medicine seeks a Principal Scientist to lead ML, optimization, and GenAI initiatives across Global Development, applying ML models to enrollment forecasting, cost estimation, and site selection. You will work with real-world data, EHRs, and CTMS, translating complex methods for diverse partners while mentoring junior colleagues.

Candidates should have a PhD in a quantitative field and 5+ years in healthcare data science, with strong Python, ML tools, and MLOps