Explore Academic Positions at Harvard Postdoctoral Fellow - Computational Immunology & Translational Oncology Bookmark this Posting Print Preview | Apply for this Job 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:
Summary from the source posting. Always confirm details on the institution's official career page.