Associate Director, Clinical AI
Core
Define and deliver AI methods to accelerate clinical trial design, patient selection, dose optimization, and safety evaluation across early and late-phase drug development.
Role type
Senior IC data scientist (clinical AI)
Builds
Reusable AI/ML methods, pipelines, and applications for clinical trial settings
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, multimodal data integration
Technologies
PyTorch, AWS, Azure, GCP
Responsibilities
Develop and deploy reusable AI/ML methods for trial design and safety/efficacy signal detection; Lead end-to-end delivery of data science projects from framing to adoption; Partner with clinical and regulatory teams to embed AI strategy; Build well-documented data products with a software engineering mindset; Apply cutting-edge methodologies like agentic AI and causal inference; Drive data-centric AI practices for dataset curation and quality control; Contribute to AI evaluation frameworks and scientific publications; Provide coaching and technical guidance to senior data scientists
Seniority
Senior, hands-on IC
