Associate Director, Clinical AI
Core
Developing, evaluating, and deploying AI and machine learning methods to inform clinical trial design, patient selection, dose optimization, and safety evaluation for early and late phase drug development.
Role type
Senior IC data scientist (clinical AI)
Builds
Reusable AI methods, pipelines, and applications for clinical development
Domain
Biopharmaceuticals / Clinical Development
Deliverable
production ML models
Required skills
foundation model training and fine-tuning, Bayesian inference, temporal and longitudinal modelling, multimodal integration, model calibration and domain adaptation, data-centric AI, model interpretability, Python, deep learning frameworks (PyTorch), cloud platforms (AWS, Azure, GCP)
Preferred skills
clinical trial design, biomarker discovery, MLOps/LLMOps, uncertainty quantification, computing hardware optimization
Technologies
PyTorch, AWS, Azure, GCP
Responsibilities
Develop and deploy reusable AI methods for trial settings; lead end-to-end delivery of data science projects; partner with clinical and regulatory teams to embed AI strategy; build reusable data products; apply cutting-edge methodologies; drive data-centric AI practices; contribute to evaluation frameworks; provide coaching to senior data scientists
Seniority
Senior, hands-on IC
