Senior Research Scientist, Machine Learning (BioFM)
Core
Design and train next-generation Biological Foundation Models (BioFMs) to decode RNA biology and identify novel drug targets for human health.
Role type
Senior Research Scientist, Machine Learning (BioFM)
Builds
Production ML models for genomic and transcriptomic data
Domain
Drug discovery, Computational Biology, Genomics
Deliverable
production ML models
Required skills
Deep learning architecture design, Foundation model pre-training, Genomic sequence modeling, Large-scale model training and debugging, PyTorch, Massive dataset engineering
Preferred skills
First-author publications in top-tier venues, Technical project leadership, Cloud computing (GCP), Open-source contributions
Responsibilities
Lead creative research and architecture design for BioFMs on massive-scale genomic datasets; Integrate deep biological priors into model architectures; Implement, train, and evaluate large-scale models to demonstrate scientific validity; Mentor junior scientists and engineers; Share research findings via publications and internal presentations
Seniority
Senior, hands-on IC with mentorship