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
HLA binding and antigen presentation
Immunogenicity prediction
Neoantigen ranking and selection for each patient
mRNA sequence design
Liquid biopsy models: ctDNA and tracking disease over time
Patient response models: who responds, and why
Tumor microenvironment modeling
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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