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Afternoon Genomics Data Scientist Jobs (NOW HIRING)

Merck & Co.

$62K - $63K/yr

You will serve as a technical and scientific leader, shaping how functional genomics evidence is generated, interpreted, and integrated with orthogonal data sources to inform early discovery ...

Merck & Co.

$64K - $65K/yr

You will serve as a technical and scientific leader, shaping how functional genomics evidence is generated, interpreted, and integrated with orthogonal data sources to inform early discovery ...

Smithsonian Institution

Data Scientist

Washington, DC · On-site +1

$121K - $158K/yr

Serve as a recognized subject matter expert in data science, genomic data integration and interoperability, operations research, and data management and analytics and/or visualization. * Conduct and ...

Baylor Genetics

Clinical Genomics Scientist III

The Clinical Genomics Scientist analyzes clinical genetics data, curates variants and genes, and summarizes findings for clinical reports. Our scientists assist laboratory directors and R&D with ...

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All JobsAfternoon Genomics Data Scientist Jobs

Afternoon Genomics Data Scientist information

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$46K

$165K

$243.5K

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

As of Aug 8, 2026, the average yearly pay for afternoon 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.

What is the difference between Afternoon Genomics Data Scientist vs Morning Genomics Data Scientist?

AspectAfternoon Genomics Data ScientistMorning Genomics Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Genetics, or Data Science; experience with genomic data analysisBachelor's or Master's in Bioinformatics, Genetics, or Data Science; experience with genomic data analysis
Work EnvironmentTypically works in research labs, biotech firms, or healthcare settings during afternoon shiftsSimilar environments, often during morning shifts or standard business hours
Employer & Industry UsageUsed in biotech, healthcare, and research institutions with flexible or shift-based schedulesCommon in similar industries, often with standard daytime hours

The main difference between an Afternoon Genomics Data Scientist and a Morning Genomics Data Scientist lies in their work shifts. Both roles require similar qualifications and are employed in comparable environments within biotech and healthcare sectors. The choice often depends on the employer's scheduling needs or personal preference for working hours.

More about Afternoon Genomics Data Scientist jobs
What cities are hiring for Afternoon Genomics Data Scientist jobs? Cities with the most Afternoon 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 Afternoon Genomics Data Scientist jobs? States with the most job openings for Afternoon Genomics Data Scientist jobs include:
What job categories do people searching Afternoon Genomics Data Scientist jobs look for? The top searched job categories for Afternoon Genomics Data Scientist jobs are:
Afternoon Genomics Data Scientist jobs near you
Infographic showing various Afternoon Genomics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% 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 3 days ago

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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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