Quick Summary
Minimum requirements include a college or university degree in related field.
A central focus of the lab is phenomics, the integrative use of EHR-derived and survey-based phenotype data to power genetic and multiomic discovery. The lab develops and applies methods such as phenome-wide association studies (PheWAS), which test genetic variants against the full breadth of clinical phenotypes captured in health records, as well as traditional genome-wide association study (GWAS) approaches on complex phenotypes. PHIL builds and maintains computable phenotype algorithms, reproducible, data-driven definitions of disease states, drug effects, and other clinical conditions, that integrate EHR data, survey responses, and other health data sources.
We also seek to use large scale biobank data to uncover novel gene functions and previously unrecognized genetic diseases, an undertaking that depends on integrating genomic data with clinical, phenotypic, and knowledge-base resources at scale. PHIL collaborates broadly with clinical, genomic, and computational investigators to support biobank-scale studies, and is building a team of programmers, analysts, and scientists to sustain and expand this work.
Responsibilities
~1 min read- →Optimize and maintain best-practice pipelines for gene-disease association analyses, including genome-wide association studies (GWAS) and phenome-wide association studies (PheWAS).
- →Build and refine computable phenotype algorithms for diseases, drug effects, and other clinical conditions by integrating EHR data with survey-based data sources.
- →Develop scripts, pipelines, and software to analyze diverse health-related datasets, combining data across orthogonal sources — including EHR data, environmental exposures, and taxonomic/knowledge resources such as OMIM, the Human Phenotype Ontology, and DrugBank — to support genomic analyses.
- →Provide broad-based programming and analytic support across a range of informatics and genomics research projects, including custom script development for analysis of public datasets and lab-generated data.
- →Support the computational infrastructure underlying studies of rare genetic variants, helping enable discovery of novel gene functions and genetic diseases through clinical characterization.
- →Collaborate with scientists, clinicians, and analysts to ensure pipelines are reliable, reproducible, and scalable for biobank-level data volumes.
- →Generate public use resources.
- →Leads implementation or modification of existing web-based bioinformatics tools.
- →Provides expertise to biomedical informatics related concepts, applications, and tools.
- →Performs other related work as needed.
Requirements
~1 min read- Advanced degree (MS or PhD preferred) in bioinformatics, computer science, computational biology, or related field.
Nice to Have
~1 min read- Excellent verbal and written communication skills.
- Excellent interpersonal and customer service skills.
- Excellent organizational skills, ability to maintain files.
- Proficiency with word processing applications, preparing presentations, spreadsheets and databases.
- Ability to maintain calm and courteous demeanor and to work productively despite heavy workload, competing priorities, complex problems, and tight deadlines.
- Ability to exercise sound judgment and excellent problem-solving skills.
- Ability to exercise flexibility and contribute to the overall work of the team.
- Considerable skill in working both independently and as a team member.
- Ability to take initiative.
- Resume/CV (required)
- Cover Letter (required)
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.
What We Offer
~1 min readThe 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.
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.
Location & Eligibility
About this job
- Pay per year
- $100,000–$150,000 a year
- 83% above the $68,120 median for Other jobs on Jobera (125,697 salaries).
- Who can apply
- United States
- Posted
- 3 days ago
Listing Details
- Posted
- October 24, 2026
- First seen
- October 24, 2026
- Last seen
- October 26, 2026
Posting Health
- Days active
- 3
- Repost count
- 0
- Trust Level
- 63%
- Scored at
- October 27, 2026
Signal breakdown
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