Senior Genomics Informatics Engineer for Biobank-scale Studies

Biological Sciences Division at the University of Chicago; Chicago (IL); On-site; USD 100,000 - 150,000; Full time

Job summary

The University of Chicago's Biological Sciences Division, Precision Health Informatics Lab (PHIL) in Chicago, seeks a Senior Biomedical Informatics Programmer to design, optimize, and maintain production-grade pipelines that connect genomic, phenotypic, and clinical data for gene-disease discovery at scale. This role focuses on rare variant studies and deep clinical characterization.

You will collaborate with scientists and analysts to ensure pipelines are reliable, reproducible, and scalable

Qualifications

• College degree in a related field required; advanced degree preferred.
• 7+ years of relevant work experience in bioinformatics or computational biology.
• Strong programming skills with production data pipelines in Python/R.
• Experience with genomic and/or EHR data formats and analyses.
• Familiarity with biomedical ontologies and knowledge bases.

Responsibilities

• Optimize and maintain pipelines for GWAS and PheWAS analyses.
• Develop computable phenotype algorithms integrating EHR and survey data.
• Create scripts and pipelines for diverse health datasets across multiple sources.
• Provide broad programming and analytic support for informatics projects.
• Support infrastructure for rare variant studies and gene-disease discovery.
• Collaborate with scientists and clinicians to ensure reliable, scalable pipelines.

Skills

Python

R

Production pipelines

Genomics

EHR data

PheWAS/GWAS

Omics data

Communication

Teamwork

Initiative

Education

Bachelor's degree in related field

MS or PhD preferred in bioinformatics/computational biology

Tools

FHIR/OMOP

VCF

Knowledge bases (OMIM, HPO, DrugBank)

Job description

The University of Chicago's Biological Sciences Division, Precision Health Informatics Lab (PHIL) in Chicago, seeks a Senior Biomedical Informatics Programmer to design, optimize, and maintain production-grade pipelines that connect genomic, phenotypic, and clinical data for gene-disease discovery at scale. This role focuses on rare variant studies and deep clinical characterization.

You will collaborate with scientists and analysts to ensure pipelines are reliable, reproducible, and scalable