ZipRecruiter

Log In

1

Genomic Data Science Jobs in Chicago, IL (NOW HIRING)

Tempus

Data Scientist II, Outcomes Research

Chicago, IL · On-site

$100K - $150K/yr

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... genomic databases. * Strong communication and presentation skills with the ability to translate ...

Tempus

Senior Scientist II, Data Solutions

Chicago, IL · On-site

Cancer Biology, Human Disease, Genetics/Genomics, Molecular Biology or Immunology And / Or * 2+ years of post-grad experience in data science, bioinformatics, biostatistics, epidemiology, immunology ...

Field Museum

Postdoctoral Research Scientist

Chicago, IL · On-site

$61K/yr

The Grainger Bioinformatics Center in the Science and Education Department at The Field Museum is ... Experience with genomic data analysis, phylogenetics, and working in Linux-based environments is ...

The University of Chicago

Bioinformatician

Chicago, IL · On-site

$80K - $110K/yr

Analyzes and interprets data of high throughput genomics, proteomics and genetic data. * Customizes existing applications to meet specific scientific project needs. * Assists in creating data ...

LRES Corporation

Bioinformatician - Wolfe Lab

Chicago, IL · On-site

$62 - $65/hr

Genomic data analysis expertise. Qualifications * Master's degree or Ph.D. in Computer Science, Genetics, Molecular Biology, Bioinformatics, Computational Biology, Biostatistics, or related fields.

New

Belay Diagnostics

Clinical Data Abstractor

Chicago, IL · On-site

The Clinical Data Abstractor will work closely with Clinical Genomic Analysts/Scientists and laboratory personnel to promote accurate, efficient, and timely patient reporting.Must be eligible to work ...

Varsity Tutors

Genetics Tutor

Lake Forest, IL · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Schaumburg, IL · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Highland Park, IL · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Evanston, IL · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

Varsity Tutors

Genetics Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

... genomic data. Emphasizes probabilistic reasoning and connects genetics to genetic counseling, forensic science, evolutionary biology, and personalized medicine applications. * Curriculum Awareness ...

previous pagenext page

Showing results 21-40

All JobsGenomic Data Science JobsGenomic Data Science Jobs in Chicago, IL

Genomic Data Science information

See Chicago, IL salary details

$17

$58

$83

How much do genomic data science jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for genomic data science in Chicago, IL is $58.53, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $69.33 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 Chicago, IL?

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

What job categories do people searching Genomic Data Science jobs in Chicago, IL look for?

The top searched job categories for Genomic Data Science jobs in Chicago, IL are:

Genomic Data Science jobs near you
Infographic showing various Genomic Data Science job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,733 per year, or $58.5 per hour.

Data Scientist II, Outcomes Research

Tempus

Chicago, IL • On-site

$100K - $150K/yr

Full-time

Re-posted 11 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
About Tempus and the Outcomes Research Team
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
The Outcomes Research team partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus's real-world data (RWD) offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the design and analysis of pharmacoepidemiologic and health economic outcomes research (HEOR) studies.
Responsibilities:
  • Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners.
  • Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies.
  • Work on complex problems, exercising judgment in selecting and adapting appropriate epidemiologic and health economic methodologies.
  • Partner with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients.
  • Stay current with the latest methodological advances in RWE, including causal inference and pharmacoepidemiologic methods.
  • Build analytical infrastructure, including reusable code, templates, and workflows that improve speed and quality across engagements.
  • Comply with all applicable regulations, Tempus data governance, and company procedures related to real-world data use and reporting.

Required Experience:
  • Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related quantitative field.
  • Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare datasets.

Preferred Qualifications:
  • Strong data manipulation and analytical skills tailored to observational/real-world data.
  • Deep familiarity with HEOR and RWE methodologies, including approaches to address confounding (e.g., propensity score matching, weighting, inverse probability of treatment weighting).
  • Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases.
  • Strong communication and presentation skills with the ability to translate complex methodologies and findings for non-technical stakeholders.
  • Self-driven mindset with demonstrated ability to tackle ambiguous problems and work effectively in interdisciplinary teams.
  • Experience with time-to-event analysis and survival methodologies.
  • Experience working in oncology and/or analyzing outcomes related to cancer genetics, immunology, or molecular biology.
  • Collaborative working style, eagerness to learn, and high-integrity work ethic.
  • Sharp attention to detail and a passion for delivering high-quality, timely analytics.
  • Ability to draw appropriate inferences based on study design and explicitly assess and communicate study limitations.

Nice to have:
  • Experience with version control (e.g., Git) and software testing or validation processes.
  • Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD and/or HEOR studies (e.g. using claims, EHR or registry data sources).
  • Hands-on experience contributing to regulatory submissions to the FDA or other health authorities.
  • Experience supporting data science teams in model building and validation, including feature engineering and performance assessment.
  • Client-facing or consulting experience and comfort presenting results and recommendations to external stakeholders.

#LI-BL1
CHI: $90,000-$135,000
NYC/SF: $100,000-$150,000
The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Apply