Computational Biologist: Multiomics + AI for Immunity

Onyx Bio; Berkeley (CA); Presencial; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Health insurance

PTO

Descripción de la vacante

Onyx Bio in Berkeley, CA is seeking a Computational Biologist to lead processing and integration of multiomic data (WGS, scRNA-seq, TCR/BCR, proteomics, metabolomics) with longitudinal real-world data. You will build AI models and enable data infrastructure to power biology insights and translational research.

The role emphasizes strong learning capacity, data quality rigor, autonomy, and potential future leadership as the team grows.

Formación

• PhD or equivalent experience in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related quantitative field.
• 5+ years of industry experience in computational biology, preferably on a small team.
• Deep expertise in analyzing multiomic datasets including single-cell genomics, bulk sequencing, proteomics/metabolomics.

Responsabilidades

• Lead the strategy and execution for processing, analyzing, and integrating multiomic data types (WGS, scRNA-seq, TCR/BCR, proteomics, metabolomics) with longitudinal real-world data.
• Build and deploy AI models, foundation models, and computational infrastructure to model immune system dynamics and extract biological insights.
• Drive cross-functional technical initiatives spanning computational biology, AI research, data infrastructure, and product development.
• Collaborate with external academic and industry research partners to deliver translational insights and data productizations.

Conocimientos

Machine learning

Software engineering

Data infrastructure

Educación

PhD or equivalent in Computational Biology/related field

Herramientas

Python

R

Descripción del empleo

Onyx Bio in Berkeley, CA is seeking a Computational Biologist to lead processing and integration of multiomic data (WGS, scRNA-seq, TCR/BCR, proteomics, metabolomics) with longitudinal real-world data. You will build AI models and enable data infrastructure to power biology insights and translational research.

The role emphasizes strong learning capacity, data quality rigor, autonomy, and potential future leadership as the team grows.