Intern - Development - CDS AI Research Center
Core
Develop stochastic optimization and predictive models to support drug portfolio composition, investment allocation, and clinical trial planning.
Role type
Intern, quantitative analyst (operations research/ML)
Builds
Decision-support models for drug development and clinical trial operations
Domain
Biopharmaceuticals / Operations Research / Machine Learning
Deliverable
production ML models | dashboards & analysis
Required skills
stochastic optimization, decomposition algorithms, large-scale mathematical programming, predictive modeling, machine learning, data validation, presentation skills
Preferred skills
multistage stochastic programming, Pyomo, Gurobi, adaptive trial designs, gradient boosted trees, random forests, neural networks, REST APIs
Technologies
Pyomo, Gurobi, XGBoost, LightGBM, Keras, Pytorch, Scikit-learn
Responsibilities
Develop stochastic optimization models for drug portfolio and investment decisions; Investigate advanced optimization approaches to improve model scalability; Build and evaluate predictive models for clinical trial enrollment; Collaborate with Clinical Operations and Data Engineering teams; Validate models against historical trial data; Present final project findings
Seniority
Intern
