Data Analyst

Department

BSD HGD - Unassigned Lab

About the Department

The newly established Chen Lab () is based in the Department of Human Genetics at the University of Chicago. Our research strives to catalyze repeated traversal of the 'genomic medicine cycle,' driving the discovery, biological understanding, and clinical translation of the genetic underpinnings of human disease. Our lab plays a leading role in multiple international consortia, including Epi25, the International League Against Epilepsy (ILAE), and the Genome Aggregation Database (gnomAD). Leveraging advances in genomics technologies, we have made seminal discoveries that elucidate the genetic basis underlying conditions ranging from severe neurodevelopmental disease to population-level phenotypic variation. Our work has been published in high-profile journals including Nature, Nature Genetics, Nature Neuroscience, and others. We are currently expanding efforts to build large-scale data commons for human complex disorders and to integrate emerging technologies such as AI to drive the next wave of genomic and biomedical discovery.

Job Summary

We are seeking a highly motivated and detail-oriented Data Analyst to join our team in advancing large-scale genomic studies. There are multiple (non-exclusive) exciting projects you may contribute to :

• Genetic association analysis to discover genes and mutations driving disease risk.
• Multi-omics analysis to reveal biological processes underlying disease phenotypes.
• Statistical and AI / ML method development to enhance and expand the approaches above.
• Software and web platform development to support the dissemination of findings.

All of these projects are supported by well-funded international consortia (Epi25, ILAE, and gnomAD) where we lead flagship projects that have generated highly impactful and collaborative science over the years. The overarching goal is to better understand the genetic basis of human diseases and translate discoveries into novel therapeutic strategies.

As a member of our team, you will gain hands-on experience working with real-world data at the population level and / or in clinical setting. These datasets include genomic and phenotypic information from hundreds of thousands of individuals and represent several of the largest initiatives of their kind worldwide. You will have the opportunity to collaborate with an international, interdisciplinary network of leading researchers and clinicians and to produce results with direct clinical and public health implications.

Responsibilities

Minimum Qualifications

Education :

Minimum requirements include a college or university degree in related field.

Work Experience :

Minimum requirements include knowledge and skills developed through

Certifications :

Preferred Qualifications

Education :

Technical Skills or Knowledge :

Preferred Competencies

Application Documents

When applying, the document(s) MUST  be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

40

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Hourly

FLSA Status

Non-Exempt

Pay Range

$24.04 - $31.25

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Benefits Eligible

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in theBenefits Guidebook.

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

All offers of employment are contingent upon a background check that includes a review of conviction history.A conviction does not automatically preclude University employment.Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

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