Senior Computational Scientist – Systems Biology & Next‑Gen Data Engineering

Calliere • Union City, CA

3d • $200,000

About The Position

Step into a role where code meets clinical impact. We’re building the next generation of data‑driven diagnostics — at the intersection of biology, computation, and machine learning. You’ll join a tight‑knit team of scientists and engineers decoding huge multi‑omic datasets to uncover patterns that actually change patient outcomes.

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.

Nice To Haves

• 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.

Responsibilities

• Architect and optimize computational pipelines that turn raw high‑resolution molecular data into clean, interpretable insights.
• Apply advanced statistical and algorithmic frameworks to analyze ultra‑large cell‑level and spatial datasets.
• Design and validate novel biomarkers and molecular signatures that accelerate diagnostic innovation.
• Maintain scalable, reproducible data workflows capable of handling cohorts of hundreds or thousands of biological samples.
• Partner with biologists, data scientists, and software engineers to push new ideas from concept to clinical utility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree