MABASA / INDEED
ML engineer / computational biologist
Serova
- Location
- San Francisco, CA, US
- Work type
- fulltime
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
Job description from the source
**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
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