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).
FAQs
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