Job Details

Overview

Computational Biologist, Single Cell Immunology at Organismal Scale (Biohub SF) is a post-graduate level research role focused on developing and applying computational methods to multi-modal data in immunology, with emphasis on single-cell omics, spatial biology, and machine learning. The position is based in San Francisco with a planned transition to Redwood City in two years.

What You'll Do

• Design, implement, and maintain robust pipelines for omics data processing, integration, and visualization.
• Develop and apply machine learning models to identify signatures of health and disease states.
• Contribute to predictive modeling of infection trajectories across heterogeneous cell populations.
• Take initiative in shaping the computational direction of the project and collaborate with molecular biologists, immunologists, and virologists to plan experiments and interpret findings.
• Share your expertise with team members, mentor junior staff, and help define best practices for data analysis and infrastructure.
• Author high-impact publications and present findings at internal meetings and international conferences.
• Document and release code and datasets for open-source use, ensuring long-term reproducibility and accessibility.

What You'll Bring

• PhD or equivalent experience in Computational Biology, Bioinformatics, Systems Biology, or a related discipline.
• 3+ years of post-PhD experience performing integrated data analysis using single cell omics assays, including leadership or independent contributions to complex computational biology projects.
• Proficiency in Python (or similar languages) and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with reproducible research practices, including version control, pipeline frameworks (e.g., Snakemake, Nextflow), and documentation.
• Experience working with high-performance computing environments.

• Experience in immunology, virology, or zebrafish models.
• Prior work in complex tissue/organism contexts.
• Familiarity with multi-modal data integration (e.g., imaging, ATAC-seq, spatial transcriptomics).
• Familiarity with spatial statistics.
• Contributions to open-source computational biology tools or datasets.

Compensation

The San Francisco, CA base pay range for a new hire in this role is Computational Biologist I = $108,000 - $149,000 and Computational Biologist II = $132,000 - $182,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Benefits

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice.
• Funding for select family-forming benefits.
• Relocation support for employees who need assistance moving.