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 environmentEnsure smooth integration across R ecosystems, platforms, and package management toolsSupport the adoption of platforms by developers and end usersDeliver training sessions and provide guidance to usersCollaborate with cross-functional teams to design and improve solutionsWhat we expect:Significant expertise with R programming language ecosystem and Posit tools, including RStudio/Workbench and RShiny/ConnectAble to troubleshoot dependencies and build failures for R packagesStrong working experience with Linux or Unix operating systems, software compilation, and the command lineKnowledge of Git and prior experience with GitHub, GitLab, and/or BitbucketExperience presenting your work, both verbally and in writing, to diverse audiences including stakeholders and technical colleaguesWorking hours must overlap with US Pacific Time (12:00 PM – 5:00 PM PST)Nice to have:Experience with Bioconductor or similar scientific/bioinformatics toolsKnowledge of Python and Jupyter NotebooksExperience supporting end users in a technical environmentFamiliarity with software packaging tools (e.g., EasyBuild, Spack, Homebrew)Understanding of DevOps practices, including CI/CD and testing frameworksDegree in Computer Science, Statistics, Mathematics, Life Sciences, or a related fieldWe offer:Competitive compensationRemote workFlexible working hoursA team with excellent tech expertise