Data Science & AI Innovation Postdoctoral Fellow d42
Core
Develop cutting-edge machine learning and generative AI methods for treatment effect modeling, patient stratification, and virtual clinical trials using large-scale clinical trial datasets.
Role type
Postdoctoral Research Fellow (AI/ML)
Builds
Next-generation models for treatment effects, counterfactual reasoning, and synthetic trials
Domain
Biomedical research and drug discovery
Deliverable
production ML models
Required skills
Deep learning, probabilistic modeling, causal inference, explainable AI, statistics, deep model development, architecture design, training task design
Preferred skills
Causal ML, representation learning, generative models, regulatory ML applications
Technologies
Clinical trial data, biomarker data, omics datasets, real-world data assets
Responsibilities
Develop and benchmark ML models for treatment effect estimation and counterfactual outcome prediction; Design and evaluate generative AI models for patient trajectory simulation and synthetic cohort generation; Apply causal inference to identify predictive biomarkers; Collaborate with interdisciplinary teams spanning data science, translational medicine, and drug development; Disseminate research through publications and presentations.
Seniority
Early-career scientist (immediately post-PhD)
