EPM Scientific · 2 weeks ago
Machine Learning Researcher - Genomics Foundation Models
Cambridge, MA
Full-time
Onsite
Mid, Senior Level
$200K/yr - $300K/yrEPM Scientific is partnering with a start-up focused on building a foundation model for cell-state transitions. The role involves developing ML systems to predict cell-state transitions and collaborating with experimental scientists to translate predictions into actionable protocols.
BiotechnologyRecruiting
Hiring Manager
Spencer Olmos
Responsibilities
Build sequence/dynamics models (e.g., transformers with schedule awareness; simple continuous‑time layers) to predict trajectories
Co‑embed internal single‑cell data with public references to generalize across diverse starting contexts
Run a light active‑learning loop to prioritize the next experimental batches
Translate predictions into actionable signal schedules (protocols) with the wet‑lab team
Qualification
Required
PhD or equivalent in ML, Computational Biology, Bioinformatics, or similar
Hands‑on experience with developing novel generative architectures sequence models or trajectory/dynamics modeling; comfort with single‑cell/multi‑omic data
Proficiency in Python and PyTorch/JAX; familiarity with distributed training and reproducible pipelines
Ability to collaborate closely with experimental scientists and deliver usable tools, not just papers
Company
EPM Scientific
EPM Scientific is proud to be a leading specialist recruitment agency for the life sciences industry.
Founded in 2012
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
S
Sean P.
Senior Vice President Commercial - Field at EPM Scientific
Recent News
BioSpectrum Asia
2023-12-23
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