Senior Computational Biologist
reputed company 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 - reputed company 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 reputed company 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/reputed company/life insurance, 401k with match, paid onsite lunches (3x/week), onsite gym, unlimited vacation. South San Francisco, CA (hybrid). Apply To This Job