Postdoc: AI/ML & Optimization for Clinical Operations

Biopharma Asia; Cambridge (MA); Presencial; USD 110.000 - 145.000; Jornada completa

Descripción de la vacante

Johnson & Johnson is seeking a Postdoctoral Scientist in AI/ML and Optimization within the Global Development data-science group. You will apply ML, GenAI, and optimization to support enrollment forecasting, cost estimation, and country/site selection for clinical operations.

Join a team delivering innovative medicine data solutions, collaborating with scientists, engineers, and clinicians to advance trials and improve health outcomes across diverse populations.

Formación

• PhD completed or expected before the start date in computer science, statistics, biostatistics, biomedical informatics, epidemiology, health economics, applied mathematics, engineering, or another quantitative discipline.
• 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 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).
• Familiarity with clinical operational data, real world data, electronic health records and claims, and financial data.
• A record of scientific communication through publications, conference presentations, open-source contributions, or equivalent research 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, tradeoffs, and optimal scenarios.
• Develop and evaluate LLM-enabled workflows for document extraction, protocol comparison, and eligibility Assessment.
• Conduct stochastic simulations to forecast enrollment and patient journey outcomes.
• Design experiments and evaluation metrics to support validation, monitoring, data-quality, and responsible-AI practices.
• Contribute reusable code and data pipelines in collaboration with data scientists, engineers, and clinical-development partners.
• Communicate findings and recommendations to technical and non-technical stakeholders and support dissemination.

Conocimientos

Multi-modal ML

GenAI

Optimization engines

Python

SQL

LangChain

ML tooling (Scikit-learn, XGBoost)

RWD/clinical data familiarity

Cost data analysis

Educación

PhD in a quantitative field

Herramientas

pymoo

DSPy

LangChain

MLflow

Jenkins / GitLab CI/CD

PyMC

Descripción del empleo

Johnson & Johnson is seeking a Postdoctoral Scientist in AI/ML and Optimization within the Global Development data-science group. You will apply ML, GenAI, and optimization to support enrollment forecasting, cost estimation, and country/site selection for clinical operations.

Join a team delivering innovative medicine data solutions, collaborating with scientists, engineers, and clinicians to advance trials and improve health outcomes across diverse populations.