Role OverviewJoin a team of scientists and engineers decoding multi-omic datasets to uncover patterns that change patient outcomes.
What You Will Do
Architect and optimize computational pipelines, apply advanced statistical frameworks, design and validate novel biomarkers, and maintain scalable data workflows.
Why It Might Be a Fit
You'll partner with biologists, data scientists, and software engineers to push new ideas from concept to clinical utility.
Requirements
- 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
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