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Research Services IT Principal Professional

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: The Chronicle Of Higher Education, Inc.
Full Time position
Listed on 2026-05-26
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 90000 USD Yearly USD 70000.00 90000.00 YEAR
Job Description & How to Apply Below

University of Colorado Anschutz Medical Campus – Department of Obstetrics and Gynecology

Position #:  –
Requisition #: 39407

Job Summary

We are seeking a qualified Bioinformatician to provide centralized computational support to a diverse group of researchers across our department. This individual will assist in software development and data analysis in a highly collaborative research environment focusing on women's health. The IT Professional will primarily work on building and maintaining workflows for the analysis of large-scale genomic datasets, data management, and machine learning methods application.

The ideal candidate will be proficient in, or highly motivated to learn, biological data science, machine learning, and high-throughput sequencing analysis. The candidate should demonstrate the ability to work both independently and collaboratively, possess strong scientific communication skills, and show a clear commitment to reproducibility, replicability, and transparency in research. They should also have experience managing projects and provide examples of contributing to multiple research efforts involving diverse collaborators.

Research

(85%)
  • Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis
  • Perform scientifically rigorous data management, bioinformatic, and machine learning analyses
  • Develop and disseminate a variety of computational tools designed to access relevant clinical and sample data
  • Develop and implement complex analysis pipelines, programming, and data visualization techniques for multi‑layered omics datasets (transcriptome, epigenome, proteome, microbiome, etc.) at different resolutions (bulk, single‑cell, spatial)
  • Develop and implement complex analysis pipelines, programming, and data visualization techniques for imaging datasets (H&E, multiplexed immunofluorescence, etc.)
  • Creatively and effectively integrate data from multiple sources to accelerate discoveries
  • Assist with the design and development of major bioinformatics‑related programming projects
  • Write custom scripts to access databases and analyze data
  • Write custom coding tools or packages for PIs and other stakeholders
  • Independently and creatively identify bioinformatics and data management solutions
  • Independently identify AI/ML tools and frameworks, including the usage of LLMs and architecting multi‑agent systems for bioinformatics programming projects
  • Provide the biostatistical/data science expertise and leadership in study design, oversight, data management, data analysis, and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines
  • Act as a Subject Matter Expert and authority in the areas of bioinformatics and machine learning
Administrative (10%)
  • Contributing to high‑quality scientific publications and grant proposals
  • Presenting research at national and international scientific meetings
  • Generate visualizations, summary reports, and interpretable outputs for scientific collaborators
  • Track project milestones, deliverables, and documentation to ensure timely completion
  • Assist with developing documentation including process flows, training manuals, and Standard Operating Procedures (SOPs)
Teaching (5%)
  • Serve as a resource to PIs and other stakeholders in foundational data science, machine learning, and bioinformatics principles and best practices in code quality
  • Assist and train junior team members in programming, code management, bioinformatics, and machine learning
Work Location

Onsite – this role is expected to work onsite and is located in Aurora, CO.

Benefits
  • Medical:
    Multiple plan options
  • Dental:
    Multiple plan options
  • Additional Insurance:
    Disability, Life, Vision
  • Retirement 401(a) Plan:
    Employer contributes 10% of your gross pay
  • Paid Time Off:
    Accruals over the year
  • Vacation Days: 22/year (maximum accrual 352 hours)
  • Sick Days: 15/year (unlimited maximum accrual)
  • Holiday Days: 10/year
  • Tuition Benefit:
    Employees have access to this benefit on all CU campuses
  • ECO Pass:
    Reduced rate RTD Bus and light rail service
Qualifications

Minimum Qualifications:

  • Full‑time bachelor’s degree…
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