South San FranciscoFull TimeData Science
Remotely
pythondatacomputational biologynumpyfluorescence microscopytranscriptomicssingle cell rna seqspatial proteomics
Job Description
📋 Description
- Synthesize multimodal insights to uncover disease mechanisms and generate therapeutic hypotheses
- Identify therapeutic targets from perturbation screens using diverse data from disease-relevant in
- Discover and validate biomarkers for monitoring disease status and progression
- Partner with experimental biologists on experimental design, troubleshooting, and optimization
- Provide statistical and computational expertise to guide assay development and biological
- Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking
🎯 Requirements
- Ph.D. in computational biology, systems biology, bioengineering, computer science, machine
- Hands-on experience with diverse data modalities including at least one of single-cell RNA-seq
- Deep understanding of statistical modeling and data analysis
- Biological grounding in molecular biology or disease biology (e.g., neurological, cardiovascular
- Strong programming ability with Python scientific packages such as NumPy and pandas
- Meaningful contributions to high-quality publications in relevant venues
🎁 Benefits
- 401(k) plan with employer matching
- Medical, dental, and vision coverage; mental health support
- Open, flexible vacation policy
- Paid parental leave (16 weeks for birth parents, 10 weeks for other new parents)
- Quarterly budget for books and online courses
- New hire stipend for home office setup
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