Postdoctoral Fellow - Computational Immunology & Translational Oncology

Position Title Postdoctoral Fellow - Computational Immunology & Translational Oncology Position Description The Wyss Institute for Biologically Inspired Engineering at Harvard University seeks a postdoctoral fellow with expertise in immunology and computational biology, specifically bulk/single‑cell sequencing and AI/ML workflows. The candidate will join an interdisciplinary team to leverage organ‑on‑a‑chip microfluidic culture systems and injectable formulations for studying and modeling adaptive immunity in female reproductive tract cancers.

The role includes contributing to research publications, presenting findings to regulatory agencies and industry stakeholders, and possibly joining a spin‑out company as part of the founding team. Responsibilities

• Integrate multi‑omics, spatial pathology, and clinical datasets to identify biomarkers of therapy responsiveness and define cancer patient subpopulations most likely to benefit from therapy.
• Develop, use, and evolve computational pipelines, including:
  • 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.
• Collaborate with the organ chip bench team to design, develop, and execute in‑vitro experimental protocols; generate robust and consistent data with clear scientific documentation.
• Present key results to project teams and stakeholders.
• Contribute to grant writing, publications, and patent applications.
• Mentor students and technicians and provide project feedback.

• Final date to receive applications:
  July 22nd 2026.
• Duration:
  One‑year term position with potential extension based on performance, business need, and funding.

• This position is salaried and benefits eligible. Postdoctoral fellow salary is determined by years post‑PhD; details can be found at (Use the "Apply for this Job" box below)..
• Representation by Harvard Academic Workers UAW for collective bargaining and compensation matters.
• Access to Harvard libraries, research core facilities, and support from the Wyss in‑house Clinical & Translational Research Core.
• Robust administrative and operational support for office and lab needs.
• Flexible work arrangements for some administrative positions based on Institute needs.
• Newly constructed office and laboratory space in Boston’s Fenway District with amenities including rooftop terrace, fitness center, locker room, bike storage, and proximity to restaurants.

• Ph.D. holder.
• Experience with computer programming (R and/or Python) required.
• Ability to work independently, meet specific goals and milestones, and collaborate as part of a multidisciplinary team.

• Experience analyzing and integrating multi‑omics datasets, including single‑cell RNA‑seq, bulk RNA‑seq, spatial transcriptomics, proteomics, secretome/exosome profiling, and functional assay data.
• Prior research or work experience with cancer immunology, tumor microenvironment analysis, immune cell‑state annotation, pathway enrichment, and biomarker discovery, especially in the context of immunotherapy response or tertiary lymphoid structures.
• Experience applying machine learning and statistical modeling to biological or clinical datasets, including unsupervised clustering, dimensionality reduction, survival modeling, feature selection, and supervised learning approaches such as random forests, gradient boosting, or Cox regression.
• Interest in applying large language models, retrieval‑augmented generation, or AI‑assisted decision‑support systems to synthesize complex biomedical datasets and support expert‐guided patient prioritization.
• Hands‑on experience in performing primary human and cancer cell culture, complex cell‑based assay development and screening technologies (e.g., multicolor flow cytometry, RNA‑seq, library preparation for sc RNA‑seq, MSD,…