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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Barcelona, Spain, Cambridge, Massachusetts, United States of America, Hyderabad, Andhra Pradesh, India, Madrid, Spain, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of AmericaJob 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:
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 AnalysisThe anticipated base pay range for this position is :
$117,000.00 - $201,250.00Additional Description for Pay Transparency:
Skills Required
- Ph.D. in a quantitative discipline (computer science, ECE, biostatistics, health economics, biomedical informatics, applied mathematics, or similar)
- 5+ years industry experience delivering data science projects using ML predictive modeling, multi-objective optimization, NLP, and GenAI
- Hands-on experience with multi-modal ML predictive modeling and stochastic simulations for time-series forecasting
- Experience building multi-objective optimization engines 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 with clinical operational data, real-world data, EHR and claims, and financial data
- Prior experience in healthcare, MedTech, or pharmaceutical data science/AI roles
- Hands-on experience using clinical trial protocols, registries, cost data, CTMS, EDC and/or EHR to build ML models for operational or RWE outcomes
- Preferred skills: advanced analytics, coaching, critical thinking, data quality, data visualization, econometric models, process improvements, strategic thinking, technical credibility, workflow analysis
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
