Research Software Engineer

As a Research Software Engineer in the lab, you will take an engineering and research leadership role and be in charge of one or more software projects. This will include:

• Software Development: Design, implement, and maintain open-source research software tools for the visualization and analysis of genomic, single-cell, and spatial omics data.

• Project Leadership: Take engineering and research ownership of one or more software projects, developing and executing project strategy and roadmaps.

• Software Maintenance and Quality: Establish and uphold engineering best practices, including code review, testing, continuous integration, documentation, and release management, to ensure long-term sustainability of lab software.

• Research and Publication: Lead the writing of peer-reviewed publications describing novel methods, tools, and applications, and present work at scientific conferences.

• Community Building and Outreach: Grow and support open-source user and developer communities through documentation, tutorials, workshops, issue triage, and engagement with external contributors.

• Collaboration: Work with collaborators in national and international research consortia and with domain scientists to gather requirements, integrate tools into their workflows, and deliver on joint milestones.

• User Research: Conduct user studies and gather feedback from domain scientists to inform tool design and prioritization.

• Data Standards: Contribute to the development and adoption of community data standards and file formats for genomic and spatial omics data.

• Funding Acquisition: Contribute to the preparation of grant proposals and pursue industry sponsorship and other funding opportunities to sustain and expand software projects.

• Mentorship: Mentor and supervise trainees, including interns, Masters and PhD students, as well as staff members, on software engineering practices and research methods.

• Teaching: Participate in teaching activities, such as guest lectures, course modules, or training sessions.

• Infrastructure and Deployment: In collaboration with the engineering team, deploy, monitor, and maintain cloud-based and on-premise services supporting lab software and data portals.