Computational Biologist

Computational Biologist

We are working with a pioneering, venture-backed biotech startup unlocking new potential in the developmental biology field.

Position: Computational Biologist
Location: SF - flexible remote
Type: Full‑Time

What You'll Do

• Pipeline Development & Maintenance

  • Run and maintain automated bioinformatics pipelines on an HPC cluster (and cloud as needed) for single‑cell and bulk RNA‑seq, ATAC‑seq, and other omics data.

  • Perform routine QC assessments, normalization, and differential expression analyses with best‑practice workflows.

• Data Analysis & Interpretation

  • Analyze genome‑wide next‑generation sequencing datasets to uncover insights into stem cell biology.

  • Clean, QC, and "smell‑test" datasets; translate computational findings into testable biological hypotheses.

  • Create compelling data visualizations for internal teams and external presentations.

• Collaborative Research

  • Work closely with bench scientists to iterate on experimental designs and integrate computational predictions with in‑vitro validation.

  • Contribute to code bases using R, Python, and bash-adhering to version‑control, documentation, and reproducibility standards.

  • Explore public datasets and integrate them with in‑house data to expand the scope of discovery projects.

Who You Are

• Education & Experience

  • PhD in Computational Biology, Genomics, Systems Biology, or related field; or MS plus 1-3 years industry experience in bioinformatics.

• Technical Proficiency

  • Expert in R, Python, and bash scripting.

  • Deep experience with single‑cell and bulk RNA‑seq workflows (e.g., Seurat, Scanpy, DESeq2) and ATAC‑seq preprocessing.

  • Strong statistical foundations: data cleaning, QC, hypothesis generation, and interpretation.

  • Comfortable with Git‑based collaborative coding and high‑performance computing environments.

• Analytical Mindset

  • Proven ability to scope, design, and execute independent analyses that drive new scientific directions.

  • Track record of translating complex computational results into clear, actionable insights for experimental teams.

• Communication & Teamwork

  • Excellent communicator-able to present technical findings to both computational and wet‑lab audiences.

  • Eager to collaborate across disciplines and contribute to a fast‑paced startup culture.

Nice to Have

• Familiarity with spatial transcriptomics platforms and analysis tools.

• Prior exposure to cloud‑native bioinformatics workflows (e.g., AWS Batch, Terraform).