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Serova is building personalized cancer vaccines and seeks a cancer immunologist to build and run the assays that inform target selection for each patient.
You’ll generate high-throughput data on peptide-HLA binding, run TCR screening, and screen vaccine candidates for immune responses. You’ll collaborate with the computational team to train models using your data.
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. Picking the right targets for each patient, and showing the vaccine works, comes down to immunology data, and we generate a lot of it.
You’ll build and run the TCR, peptide-HLA and immunomonitoring assays that tell us which targets to pick for each patient, and whether their vaccine is working.
Generate high-throughput data on peptide and peptide-HLA binding and presentation
Run TCR screening to find T cells that recognize each patient’s targets
Screen mRNA vaccine candidates for the immune response they drive
Build and run immunomonitoring assays on patient samples
Work with our computational team so your data trains our models
A cancer immunologist from a strong lab who wants to build, not just publish
You like building assays as much as running them
You move fast with messy clinical samples
High agency, friendly and low ego
A PhD in immunology or a related field, or equivalent industry experience
Hands‑on with T cell assays: ELISpot, flow cytometry, multimer staining or similar
Based in the San Francisco Bay Area, or willing to relocate
Authorized to work in the US, or a realistic path to get there
Cancer immunology training in a leading neoantigen or cancer vaccine lab
Antigen discovery: you’ve built peptide or peptide-HLA libraries, or screened for immunogenic antigens
Single-cell and T cell profiling
You’ve taken an assay from idea to something robust and routine
Patient samples: PBMC processing and longitudinal immunomonitoring
You’ve worked at, advised or founded something outside academia
Location: San Francisco
Type: Full‑time