Postdoc: AI/ML & Optimization for Clinical Operations

Johnson & Johnson Co.; Cambridge (MA); Presencial; USD 80.000 - 120.000; Jornada completa

Descripción de la vacante

Johnson & Johnson is seeking a Postdoctoral Scientist in AI/ML and Optimization within Innovative Medicine to apply ML, GenAI, and optimization techniques to support global clinical operations, enrollment forecasting, and cost estimation.

You will develop ML pipelines, validate ideas with stochastic simulations, and collaborate with data scientists, engineers, and clinical partners to deliver actionable insights and high-quality research outputs.

Formación

• Ph.D. completed or expected before the start date in a 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 using evolutionary algorithms, reinforcement learning, or MILP.
• Proficiency with Python and SQL; familiarity with LLM tools (LangChain) and ML/optimization libraries.
• A track record of scientific communication through publications or conference presentations.

Responsabilidades

• Develop ML, GenAI, and optimization pipelines for clinical development and trial operations.
• Analyze data to build ML models and optimization engines to predict outcomes and optimize trade-offs.
• Develop and evaluate LLM-enabled workflows for document extraction, protocol comparison, and eligibility criteria assessment.
• Run stochastic simulations to forecast enrollment and patient study completion.
• Design experiments and metrics to support validation, monitoring, and responsible‑AI practices.
• Contribute reusable code and documentation with data scientists and engineers.

Conocimientos

Multimodal ML

GenAI

Time-series forecasting

Optimization

Python

SQL

LangChain

Scikit‑learn

XGBoost

Optuna

Educación

Ph.D. in computer science or related quantitative field

Herramientas

Python

SQL

LangChain

pymoo

Scikit‑learn

XGBoost

Optuna

Descripción del empleo

Johnson & Johnson is seeking a Postdoctoral Scientist in AI/ML and Optimization within Innovative Medicine to apply ML, GenAI, and optimization techniques to support global clinical operations, enrollment forecasting, and cost estimation.

You will develop ML pipelines, validate ideas with stochastic simulations, and collaborate with data scientists, engineers, and clinical partners to deliver actionable insights and high-quality research outputs.