ML Engineer & Computational Biologist — Immunotherapy

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

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