Research Services IT Principal Professional

University of Colorado•Aurora, CO

6d•Onsite

About The Position

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 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.

Requirements

Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
An advanced degree (Masters 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 bioinformatic analyses experience
Applicants must meet minimum qualifications at the time of hire.
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
SME} Expert level knowledge of bioinformatics and machine learning processes, function and/or technology

Nice To Haves

Master’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or 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.

Responsibilities

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 analyses 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 analyses 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 bioinformatic and data management solutions
Independently identify AI/ML tools and frameworks, including the usage of LLMs and architecting multi-agent systems for bioinformatic programming projects
Provide the biostatistical/data science expertise and leadership in study design, study 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 bioinformatic principles and best practices in code quality.
Assist and train junior team members in programming, code management, bioinformatics, and machine learning.