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. Each patient's vaccine is designed computationally, by models and agents that our team builds and trains.
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.
What you'll work on
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HLA binding and antigen presentation
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Immunogenicity prediction
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Neoantigen ranking and selection for each patient
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mRNA sequence design
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Liquid biopsy models: ctDNA and tracking disease over time
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Patient response models: who responds, and why
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Tumor microenvironment modeling
Who you are
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An ML engineer or computational biologist who ships, not just trains
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You can take a messy biological problem, frame it, build the model and put it in front of the people who use it
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High agency, friendly and low ego
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Curious about biology
Requirements
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An MSc or PhD in computational biology, machine learning or a related field
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2+ years of industry experience in computational biology or applied ML
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Strong Python and a modern deep learning stack (PyTorch or JAX)
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Based in the San Francisco Bay Area or London, or willing to relocate
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Authorized to work in the US or UK, or a realistic path to get there
What will make you stand out
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Applied ML research at an AI-for-biology company
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Computational biology grounding: you work directly with biological data and wet lab collaborators
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Protein, peptide, sequence or immunology models
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LLM agents: you've built agents or tool-using systems that do real work
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You've taken a prototype to something people rely on
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Publications or open-source work that others use
Details
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Location: San Francisco or London
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Type: Full-time
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