Senior R Software Engineer

The company is a leader in its field, delivering digital and AI-driven solutions specifically for the life sciences and healthcare industries. It provides end-to-end engineering, informatics, and data science services, leveraging scientific and technical expertise to build scalable, secure, and compliant digital solutions. Its core activities include artificial intelligence, scientific informatics, and laboratory informatics, as well as the development of custom laboratory software solutions. The company also focuses on data science and engineering, along with solution design such as building data management infrastructure to support scientific research. In addition, it offers cloud engineering services with expertise in GCP and AWS, and develops high-performance computing (HPC) platforms used for complex tasks such as cell image analysis and molecular docking.

We are seeking a motivated and technically skilled R Engineer to join our team in building and maintaining a proprietary R-based scientific software ecosystem, including a large-scale package library tailored to enterprise research needs. In this role, you will also provide hands-on support to end users, helping them leverage the platform effectively across diverse research workflows, while overseeing the deployment and ongoing management of multiple Posit-based environments.

This is a fully remote, full-time position operating within PST/PDT business hours. You will be embedded within a geographically distributed team, coordinating with stakeholders across multiple regions and time zones.

Beyond development, the team supports end users directly to ensure successful platform adoption for research purposes and oversees substantial deployments across several Posit platforms. In this role, you will partner with a globally distributed team and stakeholders, contributing to a collaborative, cross-functional environment.

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

• Work closely with developers and end-user communities.
• Build, deploy, and troubleshoot R software packages within a managed application stack.
• Provide R programming language support as part of the enablement team.
• Relay stakeholder needs to developer teams.
• Prepare and deliver training sessions.

What we expect:

• Strong expertise in the R programming language ecosystem and Posit tools (RStudio/Workbench, RShiny/Connect)
• Ability to troubleshoot dependencies and build failures for R packages
• Experience providing technical support and enablement to software end users
• Knowledge of Git and experience with GitHub, GitLab, and/or Bitbucket
• Strong working experience with Linux/Unix operating systems, software compilation, and command line
• Experience presenting work to diverse audiences (stakeholders, technical teams, management)
• Working hours must overlap with US Pacific Time (12:00 PM – 5:00 PM PST)

Nice to have:

• Experience with Bioconductor (open-source bioinformatics software repository)
• Experience with Python and Jupyter Notebook
• Experience with software packaging tools such as EasyBuild, Spack, or Homebrew
• Experience with DevOps practices, including CI/CD and testing frameworks
• Degree in Statistics, Computer Science, Mathematics, Life Sciences, or Physical Sciences