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Open Postdoctoral position, faculty mentor Livnat Jerby

Important Info

Faculty Sponsor (Last, First Name): 
Livnat Jerby
Stanford Departments and Centers: 
Appointment Start Date: 
How to Submit Application Materials: 

Email  your application to and

The Jerby Lab at Stanford Genetics is looking for highly motivated and creative postdocs to join us in studying key questions in cancer immunology using emerging technologies. Stanford University, our department, and the Jerby laboratory provide an exceptional academic environment for postdoctoral studies at the interface of technology, fundamental and translational biomedical research.  We are deeply committed to our trainees and their success is our top priority.
Lab Overview: Building upon our previous work and discoveries (Jerby-Arnon et al., Cell 2018, Cell 2014, Nature Medicine 2021, Nature Biotechnology 2022), our laboratory develops multidisciplinary engineering-based systems to study, target, and rewire cellular and multicellular circuits at scale, focusing on tumor immunology. We integrate genetic engineering tools, machine learning, and single cell/spatial genomics to perform massively parallel experiments uncover molecular mechanisms governing immune responses and develop new interventions based on native and novel/synthetic circuits. Leveraging our multidisciplinary approach and capabilities we aim to identify immunomodulating interventions at an accelerated pace and lay the foundation for advances in disease diagnosis, treatment, and prevention.
Specific projects may include: developing a multimodal perturb-seq system to identify key regulators of cancer-T-cell and cancer-NK interactions; mapping cancer-immune dynamics across time and space using emerging single-cell and spatial profiling technologies; and hybrid CRISPR-ML systems to identify combinatorial genetic perturbations to induce cytotoxic lymphocyte (i.e., T cells and NK cells) recruitment, infiltration and effector functions in the tumor microenvironment.

Required Qualifications: 

General requirements:

  • A strong publication record.
  • Ability to work well in a multidisciplinary, diverse, and collaborative research environment.

For computational postdocs:

  • Ph.D. in coputational/systems biology, bioinformatics, computer science, machine learning, data science, or a related discipline.
  • Expertise in computational/systems biology, genomics, or machine learning, with preference to those with experience in single cell and/or CRISPR-based applications in immunology, cancer biology, or genetics.

For experimental postdocs:

  • Ph.D. in life sciences, immunology, cancer biology, or biomedical sciences.
  • Expertise in molecular biology, genetic engineering, immunology, and/or cancer biology.
Required Application Materials: 
  • A cover letter that includes a description of relevant research experience, research interests, expectations from the position, and preferred start date;
  • Curriculum vitae (including a complete publication list);
  • Contact information for 2-3 references.


Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.