About NewLimit

NewLimit is a biotechnology company working to radically extend human healthspan. We’re developing medicines to treat age-related diseases by reprogramming the epigenome, a new therapeutic mechanism to restore regenerative potential in aged and diseased cells. We leverage functional genomics, pooled perturbation screening, and machine learning models to unravel the biology of epigenetic aging and disease using experiments of unprecedented scale.

Position

NewLimit is seeking an immunologist with leadership experience in cell or gene therapy to lead our Immunology team. One of our initial therapeutic programs is developing an epigenetic reprogramming intervention to rejuvenate aged and exhausted T lymphocytes for cell therapy applications.

As the leader of Immunology team, you will:

  • Lead a team of Scientists and Research Associates to develop epigenetic reprogramming therapies while remaining involved in day-to-day execution
  • Collaborate with our Single Cell Technology, Epigenetic Editing, and Predictive Modeling teams to design, build, and test epigenetic reprogramming interventions for aged and exhausted lymphocytes
  • Contribute to NewLimit’s product development decisions, company-wide goals, and technology platform
  • Serve as a company-wide expert on immunology and lymphocyte biology
  • Develop scalable functional and phenotypic assays to predict the therapeutic activity of T cell populations
  • Evaluate epigenetic reprogramming payloads using ex vivo and in vivo functional assays to select therapeutic candidates

Requirements

  • Ph.D. in cell biology, immunology, or a related field and relevant industry experience
  • Experience leading a cross-functional team and managing direct reports
  • Experience with T cell therapy product development (e.g. CAR-T, TCR-T, or TIL), including cell isolation, transgenic manipulation, functional characterization, and pre-clinical development
  • Deep knowledge of lymphocyte biology

Nice to have

  • Experience with in vivo nucleic acid delivery technologies
  • Experience with bulk and single cell functional genomics methods
  • Experience with cell therapy clinical development
  • Experience with iterative product development cycles (e.g. design-build-test-learn)
  • Knowledge of aging biology, computational biology, and machine learning

 

Apply for this Job

* Required