Bioinformatician (Entry - Senior) Professional

University of Colorado•Hybrid, CO

2d•$53,631 - $84,548•Hybrid

About The Position

This full-time Research Services Information Sciences Professional position in the Barbara Davis Center for Diabetes bioinformatics team will play a key role in advancing translational research focused on immune-mediated diseases by designing, implementing, and maintaining robust data analytics pipelines. This position is responsible for managing and integrating complex clinical, immunologic, genomic, and laboratory datasets; applying advanced statistical, machine learning, and computational methods to uncover meaningful biological insights. The individual will also contribute to study design, data quality control, visualization, and reproducible reporting of results. Strong communication skills are essential, as the role involves translating analytical findings into clear, actionable results for manuscripts, grants, and scientific presentations.

Requirements

Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
A combination of education and related technical/paraprofessional experience may be substituted for the bachelor’s degree on a year for year basis
One (1) year of data management and bioinformatic analyses experience (for Intermediate Rank)
Two (2) years of data management and bioinformatic analyses experience (for Senior Rank)
Applicants must meet minimum qualifications at the time of hire.

Nice To Haves

Master’s or Doctorate degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
Experience analyzing data using high-performance computing
Experience in Linux and adept programming skills in scripting languages (e.g., Python, R/Bioconductor).
Experience with Docker, Snakemake, and GitHub
Proven track record in immunology focused research
Knowledge of standard NGS sequencing technologies, tools, and databases (e.g., Samtools, STAR, Bowtie2) is advantageous.
Understanding of genetics and molecular biology is beneficial.
Strong knowledge of basic statistical principles relevant in medical research
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 analytical concepts and methods
Knowledge of basic human anatomy, physiology medical terminology
Ability to interpret and master complex research protocol information

Responsibilities

Collaborate with and support Principal Investigators (PI) and other stakeholders in the area of bioinformatics and data analysis
Perform scientifically rigorous data management and bioinformatic analyses
Develop and disseminate a variety of 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.)
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 web tools for PIs and other stakeholders
Lead projects with a heavy emphasis on bioinformatics and publish first author manuscripts
Mentor graduate students and post-doctoral scholars in performing and interpreting their own bioinformatic analysis.
Present progress, propose new analytic approaches, and provide input on overall research direction in lab meetings.
Continuously monitor and evaluate new tools, algorithms, and best practices for potential adoption.