Lead Bioinformatics Research Instructor — Hybrid

CU Denver; Aurora (CO); Hybrid; USD 90,000 - 105,000; Full time

Benefits offered by this job

Medical plans

Dental plans

Disability insurance

Vision insurance

Retirement 401(a) plan

Paid time off

Tuition benefits

ECO Pass

Job summary

University of Colorado Anschutz seeks a Lead Bioinformatician to lead analysis and integration of multi-omics data for a translational biorepository. You will shape data strategy, build reusable analytical infrastructure, and collaborate with clinicians, statisticians, and scientists.

The role emphasizes leadership, reproducible workflows, and mentorship of 1–3 analysts, with initial focus on 65% multi-omic analyses and 25% data infrastructure, in a hybrid work setting.

Qualifications

• PhD in bioinformatics, computational biology, biostatistics, or data science.
• Four years of professional or research experience with bioinformatic analyses and independent responsibility.
• Experience with multi-omics analyses and data integration.
• Proficiency in R and Python; experience with reproducible workflows and version control.
• Experience mentoring analysts or researchers and collaborating across disciplines.

Responsibilities

• Lead analysis and integration of multi-omics data (PhIP-Seq, CYTOF, proteomics, WGS).
• Develop analysis plans for biomarkers and treatment response.
• Create reproducible pipelines; work in HPC and cloud environments.
• Harmonize datasets and maintain data governance and metadata standards.
• Provide mentorship and contribute to publications and grant applications.

Skills

R

Python

Bioinformatics

Data analysis

HPC

Mentoring

Collaboration

Education

PhD in bioinformatics/comp. biology/biostatistics/data science

Tools

Nextflow

Snakemake

Docker

Cloud computing

Job description

University of Colorado Anschutz seeks a Lead Bioinformatician to lead analysis and integration of multi-omics data for a translational biorepository. You will shape data strategy, build reusable analytical infrastructure, and collaborate with clinicians, statisticians, and scientists.

The role emphasizes leadership, reproducible workflows, and mentorship of 1–3 analysts, with initial focus on 65% multi-omic analyses and 25% data infrastructure, in a hybrid work setting.