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University of Colorado · 14 hours ago

Research Analytics Software Engineer

Aurora, CO

Full-time

Hybrid

Mid Level

$100K/yr - $127K/yr

3+ years exp

The University of Colorado Anschutz Medical Campus is seeking a Research Analytics Software Engineer to develop, maintain, and deploy scientific software for the Department of Biomedical Informatics. The role involves collaborating with faculty and stakeholders to advance research missions through software engineering, data analysis, and visualization in various domains such as Health AI and Machine Learning.

EducationHigher EducationUniversities

No H1B

Responsibilities

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

Qualification

RData analysisSoftware developmentGitR packagesData visualizationMachine learningStatisticsCommunicationTeam collaboration

Required

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

Applicants must meet minimum qualifications at the time of hire

Preferred

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 GitHub, including GitHub 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