Senior Computational Biologist
Core
Leading computational and machine learning research to discover dormant cancer cells and predict relapse in cancers spreading to the skeleton (multiple myeloma, breast, prostate) via the AllClear initiative.
Role type
Senior IC computational biologist / bioinformatician with leadership responsibilities
Builds
Production ML models and deep learning pipelines for multi-omic analysis of dormant cancer cells
Domain
Oncology / Cancer Biology / Computational Biology / Machine Learning
Deliverable
production ML models
Required skills
Deep learning, single-cell trajectory inference, multi-omic data integration, statistical modeling, project management, grant writing, team supervision
Preferred skills
Experience with Cflows, AAnet, neural-ODE approaches, manifold learning
Technologies
Deep learning frameworks, single-cell analysis tools, multi-omic data platforms
Responsibilities
Design and develop novel deep learning approaches for large-scale multi-omic analysis; lead computational biology body of work resulting in publications; supervise and mentor junior computational staff; coordinate methodology development with international partners; secure independent or co-investigator funding
Seniority
Senior, hands-on IC with mentorship and leadership duties