Postdoc: AI/ML & Optimization for Clinical Ops

Johnson & Johnson Co.; Titusville (NJ); Presencial; USD 95 000 - 130 000; Tempo integral

Resumo da oferta

Johnson & Johnson is recruiting a Postdoctoral Scientist for AI/ML and optimization in Global Development (DDSAI GD). You will apply ML, GenAI, and optimization to build computational solutions that support enrollment forecasting, cost estimation, and site/country selection in global clinical operations.

The role emphasizes developing reproducible ML workflows, validating models with real-world data, and communicating insights to cross-functional teams.

Qualificações

• PhD in computer science, statistics, biostatistics, biomedical informatics, epidemiology, health economics, applied mathematics, engineering, or other quantitative field.
• Hands-on experience with multi-modal ML predictive modeling and stochastic simulations for time-series forecasting.
• Experience with GenAI and clinical LLMs for document parsing, clinical concept disambiguation, or harmonization.
• Experience building multi-objective optimization engines to navigate complex trade-offs using evolutionary algorithms, reinforcement learning, or MILP.
• Proficiency with 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).
• Familiarity with clinical operational data, real world data, EHR and claims, and financial data.
• A record of scientific communication through publications, conference presentations, open-source contributions, or equivalent outputs.

Responsabilidades

• Conduct research, build, test, and improve ML, GenAI, optimization pipelines for clinical development and trial operations.
• Analyze, prepare, and leverage operational, RWD, and cost data to build ML models and optimization engines to predict outcomes and optimize scenarios.
• Develop and evaluate LLM-enabled workflows for document extraction, protocol comparison, and eligibility-criteria assessment.
• Perform stochastic simulations to forecast patient journey and trial outcomes.
• Design experiments and evaluation metrics to support validation, monitoring, data-quality, and responsible-AI practices.
• Contribute reusable code, data pipelines, and documentation with data scientists and engineers.
• Communicate findings clearly to technical and non-technical stakeholders and participate in scientific dissemination.

Conhecimentos

ML modeling

GenAI

Optimization

Python

SQL

LLM tools

Clinical data familiarity

Publications

Formação académica

PhD in a quantitative field

Ferramentas

MLflow

Kedro

Git

Jenkins

Descrição da oferta de emprego

Johnson & Johnson is recruiting a Postdoctoral Scientist for AI/ML and optimization in Global Development (DDSAI GD). You will apply ML, GenAI, and optimization to build computational solutions that support enrollment forecasting, cost estimation, and site/country selection in global clinical operations.

The role emphasizes developing reproducible ML workflows, validating models with real-world data, and communicating insights to cross-functional teams.