Senior Computational Scientist – Systems Biology & Next‐Gen Data Engineering
$200,000–$200,000 year
On-siteUnion City, California, United States
Job Summary
Architect and optimize computational pipelines that transform raw high-resolution molecular data into clean, interpretable insights for diagnostic innovation. Apply advanced statistical and algorithmic frameworks to analyze ultra-large cell-level and spatial datasets, maintaining scalable, reproducible workflows for hundreds of biological samples. Design and validate novel biomarkers and molecular signatures while partnering with biologists, data scientists, and software engineers to push new ideas from concept to clinical utility. Requires a Ph.D. in computational biology or bioinformatics with 5+ years of hands-on experience in single-cell and spatial sequencing data, plus expert-level fluency in Linux and modern programming ecosystems.
Required Qualifications
- Ph.D. (or equivalent experience) in computational biology, bioinformatics, genomics, or a quantitative discipline
- 5+ years working hands‐on with single‐cell, spatial, or high‐throughput sequencing data
- Deep understanding of algorithmic performance, statistical rigor, and how analytical assumptions translate to biological meaning
- Strong engineering mindset — you write clean, extensible code that scales gracefully
- Expert‐level fluency in Linux and modern programming ecosystems
- Independent drive, intellectual curiosity, and relentless attention to detail
Desired Qualifications
- Experience with next‐generation spatial or single‐cell assay platforms
- Background in oncology, immunology, or systems‐level disease research
- Familiarity with biomarker discovery pipelines or clinical data integration
- Machine learning or statistical modeling applied to multi‐omic data
- Practical experience with workflow orchestration (Nextflow, Snakemake, or similar)
- Solid software engineering habits — reproducible analysis, version control, peer review, and testing
- Comfort operating in high‐performance or cloud computing environments
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