AI Research Scientist
Core
Senior AI scientist leading technical delivery of complex, high-stakes AI initiatives for oncology clinical development, creating novel solutions for study design, execution, and decision-making.
Role type
Senior IC AI Research Scientist (Oncology Clinical Development)
Builds
Novel AI solutions for clinical study design, execution, strategy, and decision-making in oncology
Domain
Biopharma / Oncology / Clinical Development / Machine Learning
Deliverable
production ML models
Required skills
Machine learning fundamentals, software development, frontier coding-agent frameworks, foundation models, Bayesian inference, temporal modelling, reinforcement learning, multimodal integration, model calibration, domain adaptation, data-centric AI, model interpretability, multi-agent systems
Preferred skills
Biology or biomedical research, applying ML to molecular data (DNA, RNA, proteins), working with imaging data (radiology, microscopy), working with clinical text/EHR, clinical trial design, biomarker discovery, delivering models/patents/software-as-medical-device filings
Technologies
Foundation models, Bayesian inference, Temporal modelling, Reinforcement learning, Multimodal integration, Multi-agent systems
Responsibilities
Lead technical delivery of complex AI initiatives; Evaluate and develop advanced AI methods across problem definition, data strategy, governance, algorithm development, validation, and adoption; Create and validate novel AI solutions for clinical study design, execution, strategy, and decision-making; Apply data, models, and insights across cancer biology and multiple drug modalities; Build external collaborations with academic institutions, technology partners, and industry consortia; Contribute first-author research to leading machine learning and clinical AI journals
Seniority
Senior, hands-on IC
