Research Software Engineer
Listed on 2026-09-09
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IT/Tech
Data Scientist, Data Analyst, Data Science Manager
Company Description
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.
You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine.
About the Department of Biomedical Informatics Our LabJoin our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!
The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data.
An overview of recent publications of the lab can be found on Google Scholar .
We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high impact data visualization tools and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!
Our ResearchWe are currently looking for a Research Software Engineer who wants to contribute to our mission by leading software projects in one or more of the following areas:
- Generative AI for visual exploration of biomedical data
- Mixed Reality for 2D and 3D tissue data visualization in spatial biology
- Multimodal spatial and single-cell data visualization
- 2D and 3D bioimaging data visualization
- Data analysis and data management infrastructure for biomedical data visualization
The HIDIVE Lab participates in large-scale collaborative projects such as:
- NIH Human Biomolecular Atlas Program (HuBMAP): /
- NIH Cellular Senescence Network (Sen Net): /
- NIH Kidney Precision Medicine Network (KPMP): https://(Use the "Apply for this Job" box below)./
- NIH Common Fund Data Ecosystem (CFDE): /data ecosystem
- APRA-H Biomedical Data Fabric (BDF, and Pediatric Care eXpansion - PCX): -toolbox
- Human Cell Atlas (HCA): https:///
- NIH 4D Nucleome Consortium (4DN): /
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.
Job DescriptionAs 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,…
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