R Software Engineer

We are looking for a self-driven and enthusiastic R Software Engineer to support the development and maintenance of an internal R-based scientific software ecosystem. This role involves working on large-scale package distributions, platform integrations, and enabling researchers and developers to effectively use the tools provided. You will collaborate with a distributed team and engage closely with stakeholders to deliver reliable, scalable, and user-friendly solutions. This position requires a proactive mindset, strong problem-solving skills, and a passion for improving developer and user experiences. This is a full-time remote role with working hours aligned to PST/PDT business hours.

Responsibilities:

• Build, deploy, and troubleshoot R software packages within a managed application environment
• Ensure smooth integration across R ecosystems, platforms, and package management tools
• Support the adoption of platforms by developers and end users
• Deliver training sessions and provide guidance to users
• Collaborate with cross-functional teams to design and improve solutions

What we expect:

• Significant expertise with R programming language ecosystem and Posit tools, including RStudio/Workbench and RShiny/Connect
• Able to troubleshoot dependencies and build failures for R packages
• Strong working experience with Linux or Unix operating systems, software compilation, and the command line
• Knowledge of Git and prior experience with GitHub, GitLab, and/or Bitbucket
• Experience presenting your work, both verbally and in writing, to diverse audiences including stakeholders and technical colleagues
• Working hours must overlap with US Pacific Time (12:00 PM – 5:00 PM PST)

Nice to have:

• Experience with Bioconductor or similar scientific/bioinformatics tools

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• Knowledge of Python and Jupyter Notebooks
• Experience supporting end users in a technical environment
• Familiarity with software packaging tools (e.g., EasyBuild, Spack, Homebrew)
• Understanding of DevOps practices, including CI/CD and testing frameworks
• Degree in Computer Science, Statistics, Mathematics, Life Sciences, or a related field

We offer:

• Competitive compensation
• Remote work
• Flexible working hours
• A team with excellent tech expertise