{"schemaVersion":"jobsearcher.job.v1","id":"be7f27ff9787b6cec39ed816","url":"https://jobsearcher.com/jobs/be7f27ff9787b6cec39ed816","canonicalUrl":"https://jobsearcher.com/jobs/be7f27ff9787b6cec39ed816","title":"R Software Engineer","description":"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","company":"Quantori","rawCompany":"quantori","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T12:35:45.286Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"R Software Engineer","description":"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. 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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","datePosted":"2026-08-14T12:35:45.286Z","dateModified":"2026-08-14T12:35:45.286Z","hiringOrganization":{"@type":"Organization","name":"Quantori","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"be7f27ff9787b6cec39ed816"},"url":"https://jobsearcher.com/jobs/be7f27ff9787b6cec39ed816"}}