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Nextflow Jobs (NOW HIRING)

Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake) as well as familiarity with cloud-native architectures and distributed compute. * Strong publication ...

Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake) as well as familiarity with cloud-native architectures and distributed compute. * Strong publication ...

Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake) as well as familiarity with cloud-native architectures and distributed compute. * Strong publication ...

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Nextflow information

What cities are hiring for Nextflow jobs? Cities with the most Nextflow job openings:
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Infographic showing various Nextflow job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Senior Computational Scientist - Systems Biology & NextGen Data Engineering

Calliere

Union City, CA

Full-time

Posted 18 days ago


Job description

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

What You'll Do Architect and optimize computational pipelines that turn raw highresolution molecular data into clean, interpretable insights. Apply advanced statistical and algorithmic frameworks to analyze ultralarge celllevel 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. Requirements What You Bring Ph.D

(or equivalent experience) in computational biology, bioinformatics, genomics, or a quantitative discipline. 5+ years working handson with singlecell, spatial, or highthroughput 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. Expertlevel fluency in Linux and modern programming ecosystems. Independent drive, intellectual curiosity, and relentless attention to detail.

Bonus Points For Experience with nextgeneration spatial or singlecell assay platforms. Background in oncology, immunology, or systemslevel disease research. Familiarity with biomarker discovery pipelines or clinical data integration.

Machine learning or statistical modeling applied to multiomic 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 highperformance or cloud computing environments. If you're driven by the idea of building tools that help decode biology at scale and you thrive where data meets diagnostics, this is your stage.