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Volunteer Genomics Data Scientist Jobs (NOW HIRING)

Data Scientist III

Seattle, WA · On-site

$126.98 - $200.68/hr

The Translational Data Scientist III develops, curates, and analyzes multimodal research datasets that integrate clinical, genomic, and other translational data modalities. This role focuses on ...

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Volunteer Genomics Data Scientist information

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$46K

$165K

$243.5K

How much do volunteer genomics data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for volunteer genomics data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
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What cities are hiring for Volunteer Genomics Data Scientist jobs?

Cities with the most Volunteer Genomics Data Scientist job openings:

What are the most commonly searched types of Genomics Data Scientist jobs?

The most popular types of Genomics Data Scientist jobs are:

What states have the most Volunteer Genomics Data Scientist jobs?

States with the most job openings for Volunteer Genomics Data Scientist jobs include:

Infographic showing various Volunteer Genomics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Translational Data Scientist - Genomics & AI

Fred Hutchinson Cancer Research Center

Seattle, WA • On-site

$126.98 - $200.68/hr

Other

Posted 11 days ago


Job description

Fred Hutchinson Cancer Research Center is seeking a Translational Data Scientist III in Seattle, WA. The role involves developing and analyzing multimodal datasets, using advanced data engineering practices to support cancer research. You will work with various research teams, applying machine learning algorithms and ensuring compliance with data security protocols.

Qualifications include a Master's or Ph.D. in a relevant field, technical proficiency in programming, and experience in clinical or genomic data analysis. This position offers a comprehensive benefits package and opportunities for collaboration across research initiatives.

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