HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

Position Description:

Our Lab

Join 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!

Your Role

As a Postdoctoral Research Fellow in the lab, you will take a scientific leadership role and be in charge of one or more research projects. Under the mentorship of the PI, you will develop and execute strategies for

• publishing,
• collaboration, and
• funding acquisition (grants, industry sponsorship)

to support and disseminate your work. You will also have the opportunity to

• mentor junior lab members (interns, Masters and PhD students) and
• occasionally participate in teaching and outreach.

Research Fellows typically stay in the lab for a period of around 2 – 4 years with the aim of leading a research group as their next career step. Alternative career paths can be supported as well but the primary goal is to prepare Research Fellows for success as an independent researcher in academic or non-profit settings. To achieve your career goals, you will be able to take advantage of career development opportunities offered by the Harvard Medical School Postdoc Office and other Harvard University resources.

Our Research

We are currently looking for postdoctoral researchers who want to contribute to our mission by leading research projects in one or more of the following areas:

• Generative AI for visual exploration of biomedical data
• Interfaces for collaboration with AI Co-Scientists
• Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data
• Mixed Reality for 2D and 3D tissue data visualization in spatial biology
• Communication and interactive storytelling through biomedical data visualization
• Visualization of genome-mapped data (genomics, epigenomics, nucleomics, etc.)
• Multimodal spatial and single-cell data visualization
• 2D and 3D bioimaging data visualization
• Data analysis and data management infrastructure for biomedical data visualization

Our Resources

The HIDIVE Lab participates in large-scale collaborative projects such as

• NIH Human Biomolecular Atlas Program (HuBMAP)
• NIH Cellular Senescence Network (SenNet)
• NIH Kidney Precision Medicine Network (KPMP)
• NIH Common Fund Data Ecosystem (CFDE)
• APRA-H Biomedical Data Fabric (BDF)
• Human Cell Atlas (HCA)
• 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.

Basic Qualifications:

The minimum qualifications for this role are:

• Doctoral degree in biomedical informatics, computer science, computational biology, data science or a related field.
• Peer-reviewed publications in the top venues in your area of expertise.
• Demonstrated ability to work collaboratively across scientific domains.