Member of Technical Staff, Bayesian Statistics
Core
Design and implement novel Bayesian statistics methods to predict patient outcomes and treatment response for clinical AI tools.
Role type
Research IC Bayesian statistician (clinical AI)
Builds
Clinical AI tools for precision medicine and research papers
Domain
Healthcare + Bayesian statistics / machine learning
Deliverable
production ML models
Required skills
Bayesian statistics, Gaussian processes, Bayesian clinical trial design, Python, PyTorch, deep learning, survival analysis, linear algebra, probability
Preferred skills
Causal inference, multi-modal learning, domain adaptation, model interpretability, computational pathology, self-supervised learning
Technologies
PyTorch, Python
Responsibilities
Design and implement novel Bayesian statistics methods; Translate machine learning papers into production-ready code; Build robust model evaluation frameworks; Disseminate results by co-authoring research papers and abstracts; Collaborate with a multidisciplinary team of engineers and scientists; Co-mentor junior members of the team
Seniority
Senior, hands-on IC
