Research Services IT Principal Professional

University of Colorado Anschutz Medical Campus – Department of Obstetrics and Gynecology Position #: 00846326 – 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 in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or a related field An advanced degree (Master’s or PhD) may be substituted for experience on a year‑for‑year basis if the degree is in a field of study directly related to the work assignment Three (3) years of data management and bioinformatics analysis experience Applicants must meet minimum qualifications at the time of hire. Preferred Qualifications Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science, or a related field Four (4) years of experience analyzing data using high‑performance computing Prior experience managing code with a version control system (GitHub, GitLab, etc.) 2+ years of experience with Unix/Linux shell scripting, and either Python or R Knowledge, Skills and Abilities Expert knowledge of basic statistical principles relevant in bioinformatic research Expert ability to analyze and solve complex problems and apply quantitative analytical approaches Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary Familiarity with statistical and machine learning concepts and methods Ability to communicate effectively, both in writing and orally Ability to establish and maintain effective working relationships with employees at all levels throughout the institution Outstanding customer service skills Expert level knowledge of bioinformatics and machine learning processes, functions and/or technology Equal Employment Opportunity Statement CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. ADA Statement The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at View email address on click.appcast.io. Background Check Statement The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees. Vaccination Statement CU Anschutz strongly encourages vaccination against the COVID‑19 virus and other vaccine‑preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety‑sensitive job duties, you must enroll in the occupational health medical surveillance program. #J-18808-Ljbffr The Chronicle Of Higher Education, Inc.