Senior Computational Biologist

Gordian Biotechnology
Location
South San Francisco, CA
Job Type
Full-time
Posted
June 14, 2026
Views
46

Job Description

Gordian Biotechnology seeks a Senior Computational Biologist to analyze single-cell transcriptomic perturbation screens and translate findings into biological conclusions for cardio-renal-metabolic disease therapeutics. The role involves developing analytical approaches, partnering with disease experts, integrating public genomics data, and establishing validation criteria to improve screening efficiency.

Key Responsibilities

  • Analyze single-cell transcriptomic perturbation screening data
  • Translate computational findings into biological conclusions for cardio-renal-metabolic disease
  • Develop novel analytical approaches for perturbation screen analysis
  • Partner with disease biology experts and experimental teams
  • Integrate public genomics datasets to contextualize internal findings
  • Establish validation criteria to improve screening efficiency

Required Qualifications

  • PhD in Bioinformatics, Computational Biology, or related quantitative field
  • 2+ years hands-on single-cell transcriptomic analysis experience
  • At least one peer-reviewed publication or preprint with major contribution
  • Proficiency in Python and R (Scanpy, Seurat)
  • Experience with NGS workflows and high-performance computing (AWS, GCP)
  • Strong statistical foundations and cross-functional communication skills

Valued Additional Skills

  • Pooled perturbation/CRISPR screening experience
  • Cardio-renal-metabolic biology background
  • Large-scale public genomics data integration
  • Preclinical validation model experience

Benefits include competitive salary, equity, full health/dental/vision/life insurance, 401k with match, paid onsite lunches (3x/week), onsite gym, unlimited vacation. South San Francisco, CA (hybrid).

Frequently Asked Questions

Where is the job located, and is it remote, hybrid, or on-site?
The position is located in South San Francisco, CA, and operates on a hybrid work model.
What are the key responsibilities of this role?
You will analyze single-cell transcriptomic perturbation screening data, translate findings into biological conclusions for cardio-renal-metabolic diseases, develop novel analytical approaches, partner with disease biology experts, integrate public genomics datasets, and establish validation criteria to improve screening efficiency.
What qualifications and experience are required?
You need a PhD in Bioinformatics, Computational Biology, or a related quantitative field, 2+ years of hands-on single-cell transcriptomic analysis experience, and at least one peer-reviewed publication or preprint with major contribution. Proficiency in Python and R (Scanpy, Seurat), NGS workflows, high-performance computing (AWS, GCP), and strong statistical skills are also required.
What benefits and perks does the company offer?
Benefits include a competitive salary, equity, full health, dental, vision, and life insurance, a 401k with match, paid onsite lunches three times a week, an onsite gym, and unlimited vacation.

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: hybrid
Experience: Senior
Allowed Locations: Worldwide
Skills & Tags:
single-cell transcriptomics CRISPR screening computational biology perturbation screens cardiometabolic bioinformatics Python R Scanpy

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