ML engineer / computational biologist

About Serova

Serova builds personalized cancer vaccines. Each vaccine is made for the individual patient from their own samples and given in partnership with their treating physician.

The role

Our research engineering team builds agents for biology and trains the models we use to design each patient's therapy. You'll build and ship those models and agents.

Who you are

• An ML engineer or computational biologist who ships, not just trains
• You can take a messy biological problem, frame it, build the model and put it in front of the people who use it
• High agency, friendly and low ego
• Curious about biology

Requirements

• An MSc or PhD in computational biology, machine learning or a related field
• 2+ years of industry experience in computational biology or applied ML
• Strong Python and a modern deep learning stack (PyTorch or JAX)
• Based in the San Francisco Bay Area or London, or willing to relocate
• Authorized to work in the US or UK, or a realistic path to get there

What will make you stand out

• Applied ML research at an AI-for-biology company
• Computational biology grounding: you work directly with biological data and wet lab collaborators
• Protein, peptide, sequence or immunology models
• LLM agents: you've built agents or tool-using systems that do real work
• You've taken a prototype to something people rely on
• Publications or open-source work that others use

Details

• Location: San Francisco or London
• Type: Full-time