Scientist/Senior Scientist, Immunology

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.

NewLimit is seeking a highly motivated Scientist/Senior Scientist in Immunology to lead and execute key discovery-to-preclinical research efforts in inflammatory and autoimmune diseases, with a strong emphasis on T cell and regulatory T cell (Treg) biology. This role will design and implement in vitro screening assays to support lead selection and contribute to preclinical efficacy, safety, and mechanism-of-action studies. You will work closely with cross-functional partners to support program advancement toward IND-enabling studies.

In your role as a Scientist, you will:

Collaborate with Single Cell Technology, Epigenetic Editing, and Predictive Modeling teams to design, build, and evaluate epigenetic reprogramming interventions for aged T cells, including integration and interpretation of complex, multi-modal datasets

Develop scalable functional assays in T cells and Tregs to predict therapeutic activity and inform lead selection

Design and lead in vivo and in vitro immunology studies to support target discovery, validation, and preclinical development

Contribute deep expertise in inflammatory and autoimmune disease biology to experimental design and data-driven program strategy

Drive research in Treg biology, including differentiation, stability, and suppressive function

Author or contribute to study reports, internal data packages, and regulatory-supporting documentation

Mentor junior scientists and foster a collaborative, rigorous scientific culture

Present data, analyses, and scientific recommendations clearly to internal teams and leadership

Experience with pooled in vitro or in vivo screening approaches using bulk or single-cell readouts (e.g., CRISPR fitness screens, Perturb-seq, CROP-seq)

Experience with rheumatoid arthritis and/or colitis models

Experience managing or partnering with CROs to support preclinical studies, including alignment on study design, timelines, and data quality

Familiarity with basic computational tools for data analysis (e.g., Python, R)