r software engineer

R Software Engineer Send CV 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. Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. 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 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 If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to [email protected] . We will try to find something special and interesting for you! Back to open job positions