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Salary: USD 130,000 - 180,000 / annual
NewLimit is a biotechnology company developing medicines to treat age-related diseases by reprogramming the epigenome. The company uses functional genomics, pooled perturbation screening, and machine learning to understand epigenetic aging and disease.
You will join the Translational Sciences team as a Senior Scientist in In Vivo Pharmacology, serving as a subject matter expert in nonclinical and PK/PD study design. This role is critical to evaluating pioneering epigenetic reprogramming therapeutics across the company's portfolio and directly drives therapeutic candidate selection.
Key responsibilities include:
- Design, execute, and interpret in vivo pharmacology studies (PK/PD, efficacy, dose-response) across multiple disease models and therapeutic programs
- Collaborate cross-functionally with Epigenetic Editing, Predictive Modeling, and therapeutic area teams to evaluate epigenetic reprogramming payloads in relevant animal models
- Develop and refine animal models of aging and age-related disease to support translational studies
- Oversee study design, protocol development, and manage CRO/vendor relationships for in vivo studies
- Analyze and interpret in vivo data (PK/PD, biomarkers, functional endpoints) to drive pre-clinical decision making
- Contribute to regulatory-enabling study design and documentation as programs progress toward clinical development
Required qualifications:
- Ph.D. in pharmacology, physiology, biology, or related field (or equivalent industry experience with 8+ years)
- Demonstrated experience designing and executing in vivo pharmacology studies in rodent models
- Expertise in study design, dosing regimens, and route-of-administration selection
- Experience analyzing and interpreting in vivo pharmacology data to inform program decisions
- Track record leading project workflows and mentoring junior laboratory staff
- History of contributing to drug development programs at pre-clinical or clinical stages
Nice-to-have skills include experience with liver biology, hepatic disease models, nucleic acid or viral vector delivery, GLP/IND-enabling study design, and single-cell genomics or pooled screening approaches.
