ML engineer / computational biologist

Serova; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Serova, a company building personalized cancer vaccines, seeks a research engineer to ship ML models and agents used to design patient therapies. You will build and deploy models for biology, turning messy problems into usable tools for clinicians and researchers.

Ideal candidates hold an MSc/PhD in computational biology or ML, have 2+ years in industry, and are proficient in Python with PyTorch or JAX, and are willing to relocate to San Francisco Bay Area or London with work authorization for

Qualifications

• MSc or PhD in computational biology, machine learning or 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

Responsibilities

• HLA binding and antigen presentation modeling
• Immunogenicity prediction development
• Neoantigen ranking and selection for each patient
• mRNA sequence design modeling
• Liquid biopsy models for ctDNA and disease tracking
• Patient response and tumor microenvironment modeling

Skills

Python

Deep learning

PyTorch

JAX

Model deployment

Education

MSc or PhD in computational biology or ML

Tools

Python

Git

JAX

Job description

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