Senior Research Associate, Metabolism

Reposted 16 Days Ago
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South San Francisco, CA, USA
In-Office
90K-105K Annually
Mid level
Biotech
The Role
The Senior Research Associate will develop epigenetic editing tools and perform experiments on liver disease in preclinical models, collaborating across teams.
Summary Generated by Built In
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 a Senior Research Associate with experience in liver biology or in vivo physiology to join our Metabolism team. Our Metabolism team is developing reprogramming medicines to restore youthful function in aged hepatocytes in the context of metabolic disease. In this role, you will help develop epigenetic editing tools, functional assays, and model systems to measure the effectiveness of our therapeutic candidates.

What you'll do
  • Collaborate with our Single Cell Technology, Epigenetic Editing, and Predictive Modeling teams to design, build, and test epigenetic reprogramming interventions for aged and diseased hepatocytes
  • Perform experiments in preclinical animal models of liver disease
  • Conduct functional and phenotypic assays to evaluate the effects of reprogramming on hepatocyte biology in vivo
  • Deliver epigenetic reprogramming perturbations to hepatocytes in vivo using multiple transgenic manipulation methods (e.g. viral vectors, lipid nanoparticles)
  • Isolate murine and human hepatocytes by liver perfusion with downstream FACS analysis
Requirements
  • BS in cell biology, molecular biology, or a related natural science and 2+ years of work experience in a cell biology or animal physiology laboratory (academic or industry setting)
  • Proficiency in animal handling and husbandry techniques for rodent models (mice or rats)
  • Exceptional organizational skills, including detailed experimental record-keeping and the ability to manage multiple concurrent projects
  • Experience with standard molecular biology techniques, including gel electrophoresis, nucleic acid purification, and PCR
Nice to have
  • Experience working with mouse models of aging, disease and liver dysfunction
  • Experience with in vivo manipulation of hepatocytes and liver perfusion techniques
  • Experience with single-cell genomics or other functional genomics approaches
  • Proficiency in molecular biology and molecular cloning methods
Benefits

NewLimit offers generous benefits to ensure our team can focus on our mission:

  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid parental leave
  • Industry-leading paid time off (PTO) — 20 days/year for all employees + holidays
  • Meals and snacks on-site

Salary Range: $90,000 to $105,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. NewLimit offers a competitive benefits package, which includes a 401k, healthcare coverage, and 20 days of PTO. Learn more at: https://www.newlimit.com/careers   *This compensation and benefits information is based on Company's good faith estimate as of the date of publication and may be modified in the future.


Top Skills

Animal Physiology
Epigenetic Editing
Functional Genomics
Molecular Biology
Rodent Models
Single-Cell Genomics
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The Company
HQ: South San Francisco, CA
18 Employees
Year Founded: 2022

What We Do

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.

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