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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Software Engineer - **Company:** Harvard University - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $93,600.0 - $99,840.0 - **Contract:** Temporary contract - **Skills:** Health Informatics, Cloud Computing, Code Review, Computational Biology, Continuous Integration, Data Governance, Data Visualization, Human-Computer Interaction, Python (Programming Language), Open Source Technology, Software Maintenance, Release Management, Software Engineering, Web Applications, Information Technology, Free and Open-Source Software - **Published:** August 30, 2026 - **Apply:** https://www.jofdav.com/jobs/59462582-research-software-engineer ## About the Role * Minimum of seven years' post-secondary education or relevant work experience., * Doctoral degree in biomedical informatics, computer science, computational biology, data science or a related field- strongly preferred. * 5+ years software engineering experience with focus on web applications. * 5+ years experience in data analysis and visualization of single-cell and spatial biology data. * 5+ years biomedical data research experience. * 5+ years experience working in large scale collaborative research projects in academic/publicly funded research, track record of leading major academic research software projects. * 3+ years experience in open source software development and community building. * 3+ years experience in training and community outreach. * 1+ years experience in mentoring trainees and staff. * Proven success in publishing in bioinformatics and computational biology venues. * Data visualization research experience. * Python and R software development. * Grant writing skills. ## Description Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects. Our work also benefits from multiple research software products (e.g., HiGlass, Vitessce, Gosling, HuBMAP Data Portal User Interface, etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research., 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. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Are Code Reviews Worth It? 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