Senior – Physician and Translational Lead for Metabolism

Medical Director

Confirmed live in the last 24 hours



201-500 employees

Data-driven drug discovery using machine learning

AI & Machine Learning
Data & Analytics


San Bruno, CA, USA

  • MD or MD-PhD with residency and fellowship training in a specialty related to metabolic diseases
  • Active US board certification preferred
  • 5-10+ years' experience in clinical development with at least 3-5+ years in biotechnology or pharmaceutical settings leading the design and execution of clinical trials for metabolic diseases
  • Experience working with patients, patient data, and biomarker data sets such as proteomics, metabolomics, transcriptomics, imaging
  • Established track record of original contributions to clinical trials, translational medicine, or clinical practice including original publications and/or presentations
  • Key competencies in basic and translational science, physiology of metabolic diseases, patient care, clinical trial design and execution, clinical pharmacology, biostatistics, clinical operations, good clinical practice, regulatory science, applications of computation to medicine
  • Strong interpersonal skills that motivate others to excel and achieve their very best
  • Build and lead the clinical function for metabolic disease
  • Bring clinical data to bear directly on research and computation
  • Design and oversee innovative, accelerated clinical trial strategies
  • Partner with clinical operations to build a network of clinical trial sites
  • Serve as global clinical/development lead and medical monitor for clinical-stage asset(s)
  • Be accountable for the end-to-end clinical development plan
  • Oversee clinical manuscripts, abstracts, and presentations

Insitro is a data-driven drug discovery and development company leveraging machine learning, human genetics, and high-throughput biology to create predictive in vitro human cell-derived disease models, with a focus on revolutionizing traditional drug discovery and reducing costs. Their technologies include machine learning and high-throughput, quantitative biology to build predictive disease models.

Company Stage

Series C

Total Funding



South San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Excellent medical, dental, and vision coverage

Excellent mental health and well-being support

Open vacation policy

Access to free onsite baristas & cafe with daily lunch and breakfast

Access to free onsite fitness center

Commuter benefits

Paid parental leave

Competitive pay and 401(k) matching

Flexible work schedule (on site and remote)