Principal Scientist Data Science

6084-Janssen Research & Development, LLC Legal Entity; Cambridge (MA); On-site; USD 117,000 - 201,000; Full time

Job summary

Johnson & Johnson is seeking a Principal Scientist to advance ML, GenAI, and optimization for global clinical operations at their Cambridge site. You will design computational pipelines for enrollment forecasting, cost estimation, and site selection, leveraging RWD and trial data.

The role emphasizes cross-functional communication and mentorship. Required are a PhD and 5+ years in data science with NLP/GenAI, multi-modal modeling, and MLops.

Qualifications

• PhD in a quantitative field with 5+ years delivering data science projects.
• Experience with ML, NLP, GenAI, and multi-modal modeling in healthcare.
• Strong Python/SQL, ML ops, and version control experience.

Responsibilities

• Conceive, develop, and implement ML, optimization, and GenAI solutions for clinical operations.
• Build ML models using RWD, cost data, and time-series forecasts to optimize outcomes.
• Adapt LLMs for information extraction and clinical protocol analyses.
• Communicate methods and results clearly to diverse stakeholders.

Skills

Advanced Analytics

Data Analysis

Data Science

Data Visualization

Python

SQL

ML Tools

LangChain

DSPy

pymoo

Scikit-learn

XGBoost

Optuna

PyMc

Education

Ph.D. in quantitative discipline

Tools

MLflow

Kedro

Git/GitLab

Jenkins

CI/CD

LangChain

DSPy

Python

SQL

pymoo

Scikit-learn

XGBoost

Optuna

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

Barcelona, Spain, Cambridge, Massachusetts, United States of America, Madrid, Spain, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description

J&J Innovative Medicine – Data, Data Science, and AI - Global Development (DDSAI GD) is recruiting a Principal Scientist. The ideal candidate will leverage, adapt, and extend machine learning (ML), optimization techniques, and GenAI techniques to create computational pipelines supporting global clinical operations including enrollment forecasting, cost estimation and optimization, and country/site selection. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, neuroscience, and infectious disease. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about J&J Innovative Medicine, visit https://www.jnj.com/innovative-medicine

Key responsibilities

• Conceive, develop, and implement ML, multi-objective optimization, GenAI solutions to support clinical trial operations.
• Leverage operational, RWD, and cost data to build ML predictive models and optimization engines to 1) predict outcomes of interest, 2) highlight tradeoffs between competing objectives, 3) recommend optimal operational scenarios, and 4) generate actionable insights, enabling early intervention and risk management.
• Adapt large language models (LLMs) for tailored information extraction and to create solutions including conducting comparative analytics on clinical trial protocols and trial similarity assessment, clinical trial data harmonization and standardization, schedule of activity optimization, and eligibility criteria evaluation, Stochastic enrollment simulations to forecast operational and patient journey outcomes including enrollment and study completion.
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.
• Coaches and trains junior colleagues in techniques, processes, and responsibilities.

Required qualifications

A Ph.D. degree in a quantitative discipline (e.g., computer science, electrical and computer engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or similar), 5+ years of industry experience delivering on data science projects using ML predictive modeling, multi-objective optimization, natural language processing, and GenAI. Hands‑on experience with multi‑modal ML predictive modeling and stochastic simulations for time‑series forecasting. Experience building multi‑objective optimization engines to navigate complex trade‑offs using evolutionary algorithms, reinforcement learning, or mixed‑integer linear programming. Experience with GenAI and clinical LLMs for document parsing and clinical concept disambiguation and harmonization. Proficient in MLOps practices and tools (MLflow, Kedro); Git usage, CI/CD stacks (Jenkins, GitLab) DevOps tools. Proficiency with programming languages Python and SQL, Experience with python LLM tools (e.g., DSPy, LangChain), optimization tools (e.g., pymoo) and ML tools (e.g., Scikit-learn, XGBoost, Optuna, PyMc), Demonstrated experience and familiarity with clinical operational data, real world data, electronic health records and claims, and financial data.

Preferred qualifications

Prior experience in a data science AI/ML role in healthcare, MedTech, and pharmaceutical industries. Hand‑on experience utilizing clinical trial protocols, registry, cost data, CTMS, EDC and/or EHR to build ML models for estimating operational outcomes or RWE outcomes.

Required Skills

Required Skills: 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

The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency

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 https://www.jnj.com/. Do Not Sell or Share My Personal Information Limit the Use of My Personal Information