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Open Postdoctoral position, faculty mentor Livnat Jerby

Important Info

Faculty Sponsor (Last, First Name): 
Jerby, Livnat
Other Mentor(s) if Applicable: 
Mike Bassik, Anshul Kundaje, Mike Snyder
Stanford Departments and Centers: 
How to Submit Application Materials: 

Email your application to

The Jerby Lab is looking for postdoctoral fellows to work on exciting, cutting-edge research at the interface of biomedical research and technology. Applicants with expertise in either (1) molecular and cell biology, immunology, and/or cancer biology,  (2) algorithm design, statistics, programming, and machine learning; or (3) the combination of the two are welcome to apply.
The Jerby lab develops high-throughput, engineering-based approaches to: (1) dissect and target multicellular regulation at greater scale, resolution, and depth, focusing on the molecular mechanisms that govern innate and adaptive immune responses in cancer, (2) broaden the spectrum of immunomodulating interventions to trigger targeted immune responses in more effective and targeted ways, including antigen-independent modalities, (3) modify cells and groups of cells to augment or create new "synthetic" (multi)cellular circuits – allowing us to probe the “inner-workings” of multicellular processes and potentially form a basis for new types of disease treatment and prevention strategies.
Going from a system-level view to detailed molecular mechanisms, we strive to unravel how many millions of cells collectively generate complex phenotypes, focusing on key facets of cancer immunology. We aim to unravel the causal structure of multifactorial immune evasion mechanisms in highly aggressive tumors, develop new ways to trigger and augment targeted anti-tumor immune responses, and provide a blueprint for the study of multicellular (dys)regulation in health and disease (see Jerby-Arnon et al., Cell 2018; Jerby-Arnon et al., Cell 2014; Dixit et al., Cell 2016; Jerby-Arnon et al., Nature Medicine 2021; Jerby-Arnon and Regev, Nature Biotechnology 2022).
Current studies in the lab bring together advances in genetic engineering, machine learning, and single-cell/spatial genomics, to study the interplay between cancer cells and cytotoxic lymphocytes, namely, CD8 T cells and NK cells. These types of cells are a very convenient model system, as we can modify them ex vivo, and then study them in vivo. We develop new multidisciplinary methods to identify regulators of cellular and tissue immunogenicity, and uncover mechanisms controlling lymphocyte activation/ suppression, recruitment, and infiltration.
Specific postdoctoral projects may include: developing multimodal perturb-seq systems to uncover regulators and mechanisms of cancer-T-cell and cancer-NK interactions; mapping multicellular (e.g., cancer-immune) dynamics across time and space using emerging single-cell and spatial profiling technologies; developing predictive ML models of perturbational and/or spatial single cell data.; hybrid CRISPR-ML systems to identify perturbations to induce cytotoxic lymphocyte recruitment, infiltration and effector functions in the tumor microenvironment.
Academic environment: Stanford University provides a highly stimulating scientific environment that fostered collaborations and the exchange of ideas within and across disciplines. Our Department is a highly interactive and vibrant community that supports postdoctoral scholars throughout their postdoc with structured mentoring and training programs, seminar series, annual retreats, and funding opportunities. Our laboratory is also a part of the Chan Zuckerberg Biohub, offering exceptional opportunities to collaborate and network with leaders in science and technology.

Required Qualifications: 
  • Ph.D. in life sciences, computer science, biomedical sciences, or a related discipline.
  • Experience and strong publication record in immunology, cancer biology, genetics, genomics, computational biology, and/or machine learning.
  • Ability to work well in a multidisciplinary, diverse, and collaborative research environmen.
  • A genuine passion for science, and creative thinking.
  • Being self-motivated.
Required Application Materials: 
  • 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.