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Genomic Data Science Jobs in Illinois (NOW HIRING)

Tempus

Senior Computational Biologist I

Chicago, IL · On-site

$115K - $175K/yr

Experience deriving oncology-specific clinical insights using genomic data and deriving real-world ... scientists to define and execute analysis plans to address scientific questions using omics ...

Tempus

Data Architect, Next Platform

Chicago, IL · On-site

$150K - $200K/yr

... genomic and imaging data-are seamlessly accessible to autonomous AI agents. Our goal is to move ... Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field.

Tempus

Data Architect, Next Platform

Chicago, IL · On-site +1

$150K - $200K/yr

... genomic and imaging data-are seamlessly accessible to autonomous AI agents. Our goal is to move ... Education: Bachelor's Degree in Computer Science, Health Informatics, or a related field.

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Genomic Data Science information

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$16

$55

$78

How much do genomic data science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for genomic data science in Illinois is $55.05, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $65.24 per hour, depending on experience, location, and employer.

What is genomic data science?

Genomic data science is an interdisciplinary field that focuses on analyzing and interpreting vast amounts of genetic and genomic data using computational and statistical methods. Professionals in this field use bioinformatics tools, machine learning, and data analysis techniques to uncover insights about genes, diseases, evolution, and biological processes. Genomic data scientists often work with large datasets from next-generation sequencing and collaborate with biologists, clinicians, and researchers to advance our understanding of genetics and its applications in medicine and research.

How does a genomic data scientist typically collaborate with multidisciplinary teams in research or healthcare settings?

Genomic Data Scientists often work closely with biologists, clinicians, statisticians, and software engineers to interpret complex genomic datasets. Collaboration usually involves translating biological questions into analytical tasks, developing and applying computational pipelines, and communicating findings in accessible terms. Regular meetings, shared project management tools, and cross-disciplinary workshops are common, fostering an environment where diverse expertise is integrated to advance research or clinical objectives. This collaborative approach not only enhances the quality of insights but also provides opportunities for professional growth and learning from adjacent fields.

What are the key skills and qualifications needed to thrive as a genomic data scientist, and why are they important?

To excel as a Genomic Data Scientist, you need a strong background in bioinformatics, genetics, and statistical analysis, typically supported by a degree in biology, computational science, or a related field. Familiarity with tools like Python, R, next-generation sequencing (NGS) platforms, and databases such as Ensembl is crucial, as is experience with cloud computing or high-performance computing environments. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills in this role. These competencies enable accurate data interpretation, effective collaboration, and innovative research that advances our understanding of genomics.

What is the difference between Genomic Data Science vs Bioinformatics?

AspectGenomic Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Bioinformatics, or related fields; programming skillsDegree in Bioinformatics, Biology, or related fields; computational skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large genomic datasets, developing algorithmsSequence analysis, genome annotation, biological data interpretation
Common Search IntentData analysis in genomics, computational methods for geneticsGenomic sequence analysis, biological data processing

While both roles involve working with genomic data, Genomic Data Science focuses on applying data science techniques, machine learning, and statistical analysis to large genomic datasets. Bioinformatics emphasizes biological sequence analysis, genome annotation, and biological interpretation. Both fields often overlap but differ mainly in their core focus: data science methods versus biological data analysis.

What are popular job titles related to Genomic Data Science jobs in Illinois?

For Genomic Data Science jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Genomic Data Science jobs in Illinois look for?

The top searched job categories for Genomic Data Science jobs in Illinois are:

What cities in Illinois are hiring for Genomic Data Science jobs?

Cities in Illinois with the most Genomic Data Science job openings:

Genomic Data Science jobs near you
Infographic showing various Genomic Data Science job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,510 per year, or $55.1 per hour.

Team Scientists -- Translational Data Science #MED354

University of Chicago

Chicago, IL • On-site

Full-time

Re-posted 26 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

170th of 628 rated colleges and universities

Job description

Job Summary:
The University of Chicago's Department of Medicine is searching for full-time faculty members to join the Center for Translational Data Science. The role focuses on leading research in translational data science and developing systems and algorithms to support this field.
Responsibilities:
• lead research focusing on translational data science
• development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science
• development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science
• teaching and supervision of trainees and students
• scholarly activity
Qualifications:
Required:
• Doctoral degree or equivalent in Biomedical Data Science, Computer Science, Data Science, Informational Technology, Biomedical Informatics, or a related field.
• Experience in translational data science.
• Experience in the development of data commons, data ecosystem and other cloud computing platforms, systems and applications to support translational data science.
• Experience in the development of machine learning, statistical, bioinformatics and AI algorithms to support translational data science.
• Ability to teach and supervise trainees and students.
• Engagement in scholarly activity.
Preferred:
• Research broadly focused in the areas of computer science, bioinformatics, data science, mathematics, information technology, genetics, genomics, and/or systems biology.
Company:
University of Chicago is a world-renowned, private research university located in Chicago. Founded in 1890, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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