DMPK Scientist

San Diego, CA
Oct 03, 2018
Required Education
Position Type
Full time

Job Description

We are a clinical-stage biopharmaceutical company focused on building an innovative pipeline of best-in-class drugs to treat liver and gastrointestinal diseases. Our most advanced program is focused on the farnesoid X receptor (FXR) an important drug target in multiple liver and GI diseases.     Beyond our FXR program, we are building a pipeline of novel drug candidates by taking advantage of our drug discovery and development capabilities.

We are looking for a motivated, flexible, highly productive individual who is seeking a dynamic fast-paced biotechnology environment. This individual will report to the Head of DMPK and will interact extensively with the research and development team.

Key Responsibilities


  • Design and execute all aspects of preclinical in vitro ADME studies to understand the ADME and PK characteristics of NCEs, and analyze and interpret the results with minimal direction from supervisor
  • Operate, maintain and troubleshoot triple Quad, QTRAP, HPLC/UPLC systems, auto sampler and data software systems, and perform and/or manage bioanalytical assay method development, characterization and validation
  • Be the primary author of presentations and regulatory documents (IND)
  • Manage multiple tasks/projects simultaneously to meet timelines and maintain a high level of productivity

Preferred qualifications

  • PhD degree (5-10 years) or MS degree (>10 years) equivalent in drug metabolism or related discipline with relevant industrial experience in drug discovery/development
  • A strong theoretical and practical understanding of in vitro ADME assay principles and technologies is required.
  • Proficiency in operating and trouble-shooting HPLC-tandem Mass spectrometer (LC-MS/MS) is required.
  • Prior experience with submission-ready documentations for preclinical DMPK components is required.
  • Prior experience in LC-MS method development for separation and structural identification of multiple metabolites from various matrices would be a plus.