Postdoctoral Fellow - Computational Immunology & Translational Oncology

Harvard University Position Details Title Postdoctoral Fellow - Computational Immunology & Translational Oncology School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss Institute’s mission is to transform healthcare and the environment by emulating the way nature builds. We harness the imagination of academia and the focus of industry to translate ground-breaking technologies into commercial products that solve big problems.

We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love challenges. For more information, discover our technologies , catch up on our recent news , or watch our latest videos . About this Role: The Wyss Institute for Biologically Inspired Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in immunology and computational biology, specifically bulk/single cell sequencing and AI/ML workflows, to join an interdisciplinary team of biologists and engineers to leverage in vitro organ-on-a-chip (Organ Chip) microfluidic culture systems and injectable formulations to study and model adaptive immunity in female reproductive tract cancers.

The position is within a team lead by Dr. Don Ingber and Dr. Girija Goyal which is developing model systems and AI tools to help pharma and regulatory authorities make better decisions and therapies to treat these diseases. In addition to contributing to or leading the publication of research articles, this role provides the opportunity to present your research to regulatory agencies, investors, pharma companies etc.

This role may also provide the opportunity to join a spin-out company as part of the founding team. Learn more about the innovative work here: https://wyss.harvard.edu/technology/inode-implantable-lymphoid-organs-for-ovarian-cancer-therapy/ What you’ll do: Integrate multi-omics, spatial pathology, and clinical datasets to identify biomarkers of therapy responsiveness, define cancer patient subpopulations most likely to benefit from therapy, and support biomarker-informed clinical translation.

Develop, use, and evolve computational pipelines, including for: Analysis of bulk and single cell RNA -sequencing, spatial transcriptomics, and proteomics datasets Integration of experimental model data with public and clinical datasets Statistical modeling and survival analysis Machine learning and retrieval-augmented AI models for biomarker prioritization and decision support •Work closely with cross-functional team members to develop hypotheses, interpret data, and advance project goals Work closely with the organ chip bench team to assist and/or independently design, develop, and execute in vitro experimental protocols; generate robust and consistent data of high quality with clear scientific documentation Present key results to project teams and stakeholders.

Contribute to grants, publications, and patent applications. Mentor students and technicians and provide project feedback. Additional Information: We encourage candidates to apply by July 22nd 2026. Duration: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance, business need, and continued funding to support the position. Salary and Benefits: This position is salaried and benefits eligible.

Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers ( HAW ) – UAW for purposes of collective bargaining and matters affecting your compensation and working conditions. Access to Harvard’s libraries and research core facilities, as well as support from the Wyss’s in-house Clinical & Translational Research Core and Machine Shop.

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