Research Analytics Software Engineer

Research Analytics Software Engineer

University of Colorado Anschutz Medical Campus

Department:
Biomedical Informatics

Position #: — Requisition #:38720

Partner with DBMI faculty and their research laboratories to advance their scientific and technical missions, particularly in domains such as Health AI, Machine Learning, Clinical Informatics, and data-driven biomedical research.

• Partner with DBMI faculty and their research laboratories to advance their scientific and technical missions, particularly in domains such as Health AI, Machine Learning, Clinical Informatics, and data-driven biomedical research.
• Core activities include:
• Data analysis and pipeline development.
• Analytical and quantitative modeling.
• Visualization, dashboarding, and research reporting.
• Software engineering to support research workflows.
• Containerization and reproducible computing environments.
• Assist DBMI faculty in mentoring junior Research Assistants and students, providing technical guidance, code reviews, and support for best practices in research software development.
• Contribute to broader DBMI research initiatives and operational needs, including shared infrastructure, documentation, and cross-lab collaborations.
• Other duties as assigned to support the evolving needs of DBMI research programs.

Work Location:

Hybrid

• 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

• Bachelor's degree in software development or a directly related field from an accredited institution.
• Three (3) years of software development, software or system engineering, bioinformatics, or directly related IT professional experience.
• Two (2) years of experience in data analysis using R with common analysis utilities (Tidyverse, dplyr, etc.).
• Two (2) years of experience with manipulating large datasets to transform, profile, sanitize, explore, analyze, and present information in a reproducible way.
• Two (2) years of experience with version control, preferably with Git.
• Experience developing and deploying reusable and robust R packages, including familiarity with testing frameworks (testthat) and documentation generation (roxygen2).
• A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor's degree on a year for year basis. An advanced degree (Masters or Doctorate) 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.

• Master's degree in software development or a directly related field from an accredited institution.
• Documented open-source contributions.
• Two (2) years of experience with Git Hub, including Git Hub Actions experience.
• Two (2) years of experience visualizing complex data utilizing common libraries (ggplot, Plot.ly, etc.) or data analysis products (Tableau, Looker Studio) for figures and tables in manuscripts, reports, etc.
• Experience creating reusable and presentable Jupyter/Quarto Notebooks or R Markdown for data analysis and processing.
• Experience developing and maintaining R-Shiny (or equivalent) application.
• Experience submitting packages to CRAN or Bioconductor, including meeting their quality and compliance standards.

• Applicants must be currently authorized to work in the U.S. We are unable to sponsor employment visas at this time.

• 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 as well as with geographically distributed collaborators.
• Ability to interact with people of varying technical levels to gather requirements and convey…