Research Services IT Principal Professional
Listed on 2026-05-26
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
University of Colorado Anschutz Medical Campus – Department of Obstetrics and Gynecology
Position #: –
Requisition #: 39407
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.
(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
- 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)
- 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
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
Minimum Qualifications:
- Full‑time bachelor’s degree…
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