Senior Data Scientist
Core
Develop and optimize machine learning algorithms for causal inference and adaptive clinical trial design to improve drug development efficiency.
Role type
Senior IC data scientist (causal inference)
Builds
ML-based platform for adaptive clinical trial design and closed-loop execution
Domain
Biotechnology / Life sciences / Clinical trials
Deliverable
production ML models
Required skills
Python, statistical modeling, machine learning, causal inference, data visualization
Preferred skills
R, large-scale data processing, causal inference concepts
Responsibilities
Implement and optimize ML algorithms for causal ML applications in clinical trials, Conduct rigorous statistical analyses of randomized and observational data, Develop and validate methods for responder identification and treatment effect estimation, Collaborate with clinical and biological experts to translate complex problems into technical solutions, Document and present methodologies and results for internal and external stakeholders, Contribute to technical discussions and peer code reviews
