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EPM Scientific · 7 hours ago

Machine Learning Researcher - Genomics Foundation Models

Cambridge, MA

Full-time

Onsite

Senior Level

$200K/yr - $300K/yr

EPM Scientific is partnered with a start-up building a foundation model for cell‑state transitions. The role involves developing ML systems to predict cell-state transitions and collaborating closely with experimental scientists.

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

Machine LearningGenerative ModelsPythonPyTorchComputational BiologyCollaboration

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