Research Professional
University of Chicago
Department
BSD HGD - Unassigned Lab
About the Department
We foster collaborative research that integrates experimental discoveries with statistical modeling and bridges the gap between basic and translational research to ultimately inform strategies for precision medicine.
Job Summary
We are seeking outstanding researchers to contribute to the development and application of advanced statistical and AI/ML methods for analyzing large-scale genomics data as part of a large NIH-funded international consortium that brings together multiple institutions to analyze genomics data from human cohorts diagnosed with epilepsy.
Responsibilities
Discuss, plan, and carry out research in a stimulating and collaborative environment.
Develop and apply rigorous methods to investigate associations between genetic and phenotypic variables.
Independently explore, learn, and evaluate state-of-the-art statistical/AI/ML approaches.
Summarize findings in reports, manuscripts, and presentations; publish results in peer-reviewed journals.
Conduct reproducible analyses within an open science framework, including producing open-source pipelines and tools for use by the broader scientific community.
Contribute to the supervision and mentoring of junior researchers.
Collaborate with consortium partners, with excellent opportunities to expand academic networks.
Serves as a resource for collecting data and performing analysis. Contributes to facilitating and promoting a research project by providing scientific or intellectual information.
Trains new laboratory personnel.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include a PhD in related field.
Work Experience:
Certifications:
---
Preferred Qualifications
Education:
Ph.D. in computational biology, bioinformatics, statistics, computer science, AI/ML, or a related quantitative field.
Experience:
Experience in either: Large-scale genomics data analysis OR Statistical/AI/ML method development applied to biological data.
Proficiency in programming languages and working with high-performance or cloud computing environments.
Practical experience with sequencing or SNP-array data analysis.
Experience with genomics data analysis tools and frameworks (e.g., PLINK, Hail, GATK).
Strong knowledge of modern statistical/AI/ML methodologies in biology.
Preferred Competencies
Solid understanding of genetics principles and genetic association studies.
Demonstrated scientific writing skills in English, evident from first-author journal articles.
Proactive mindset with strong communication skills to work effectively in an interdisciplinary team.
Enthusiasm for initiating innovative secondary analyses, such as integration with multimodal functional and clinical data from external resources.
Application Documents
CV (required)
Cover Letter (preferred)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
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
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 the Benefits 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.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.