Senior Computational Biologist: Perturb-seq & scRNA Insights

Gordian Biotechnology; South San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Equity stake in company

Competitive salary

Health/dental/vision insurance

401(k) with match

Onsite lunch 3 days a week

Wellness gym facilities

Job summary

Gordian Biotechnology is seeking a Senior Computational Biologist to own the analysis of in vivo Perturb-seq data across cardio-renal-metabolic programs, translating high-dimensional data into testable hypotheses.

You will work with disease area leads, apply Python/R workflows (Scanpy/AnnData, Seurat), and drive methodological innovations from data QC to validation planning in a fast-paced startup environment.

Qualifications

• Ph.D. in Bioinformatics, Computational Biology, or a related quantitative field.
• 2+ years of hands-on analysis of single-cell transcriptomic data including Perturb-seq or pooled perturbation screens.
• Strong statistical foundations and ability to select appropriate tests and models.
• Experience with regulatory-network, cell-cell communication, trajectory/state-transition analyses is valuable.

Responsibilities

• Own the coordinated analysis of large in vivo Perturb-seq datasets across cardio-renal-metabolic programs.
• QC single-cell data and guide the team to reproducible, high-quality standards.
• Streamline hit-calling and contribute to validation planning and assay design.
• Propose analysis tasks, navigate ambiguity, and drive data-driven decisions with disease leads.

Skills

Python

R

Single-cell analysis

Perturb-seq

Statistical modeling

Data visualization

Collaboration

Education

Ph.D. in Bioinformatics/Computational Biology or related field

Tools

Scanpy/AnnData

Seurat/Bioconductor

Cell Ranger

Job description

Gordian Biotechnology is seeking a Senior Computational Biologist to own the analysis of in vivo Perturb-seq data across cardio-renal-metabolic programs, translating high-dimensional data into testable hypotheses.

You will work with disease area leads, apply Python/R workflows (Scanpy/AnnData, Seurat), and drive methodological innovations from data QC to validation planning in a fast-paced startup environment.