Senior Genomics Informatics Engineer

University of Chicago; United States; On-site; USD 100,000 - 150,000; Full time

Job summary

University of Chicago in Chicago, IL, is seeking a senior researcher in Precision Health Informatics to optimize pipelines for GWAS and PheWAS. You will build computable phenotype algorithms from EHR and survey data, and develop scripts to analyze diverse health datasets including OMIM, HPO, and DrugBank.

We expect 7+ years of experience and a PhD/MS preferred. The role emphasizes collaboration with scientists and clinicians to enable biobank-scale discoveries and publish public-use resources.

Qualifications

• Education: college or university degree in related field.
• Work Experience: 7+ years in a related job discipline.
• Certifications: ---

Responsibilities

• Optimize and maintain best-practice pipelines for gene-disease analyses (GWAS, PheWAS).
• Build computable phenotype algorithms by integrating EHR and survey data.
• Develop scripts and software for diverse health datasets across multiple sources.
• Provide programming and analytic support across informatics and genomics projects.
• Support computational infrastructure for studies of rare genetic variants.
• Collaborate to ensure pipelines are reliable, reproducible, and scalable.
• Generate public use resources.
• Lead implementation or modification of web-based bioinformatics tools.
• Provide expertise in biomedical informatics concepts and tools.
• Performs other related work as needed.

Skills

Strong programming

Communication

Team collaboration

Education

Bachelor's degree in related field

MS or PhD preferred

Tools

Python

R

Genomic data formats (VCF)

FHIR/OMOP

Job description

University of Chicago in Chicago, IL, is seeking a senior researcher in Precision Health Informatics to optimize pipelines for GWAS and PheWAS. You will build computable phenotype algorithms from EHR and survey data, and develop scripts to analyze diverse health datasets including OMIM, HPO, and DrugBank.

We expect 7+ years of experience and a PhD/MS preferred. The role emphasizes collaboration with scientists and clinicians to enable biobank-scale discoveries and publish public-use resources.