Schrdinger
DMPK Scientist
New York; Cambridge, MA; San Diego; Portland. Posted a month ago
The role
The DMPK Scientist will develop and drive DMPK and PK/PD strategy for drug discovery projects. This role involves collaborating with internal teams and external CROs to integrate data and author reports for regulatory submission.
What you will do
- Develop and drive DMPK and PK/PD strategy for drug discovery projects
- Represent the DMPK group on internal and intercompany project teams
- Collaborate with internal and intercompany project team members and external CROs
- Analyze and integrate in silico ADME predictive solutions, physicochemical, ADME, and DMPK data
- Author and/or review appropriate reports for regulatory submission
- Support interactions with regulatory agencies
- Collaborate with scientific development team on establishment of predictive computational ADME/DMPK models
Required qualifications
- PhD in life sciences, chemical engineering, pharmacokinetics, pharmaceutical sciences, or a related discipline with at least five years of experience working with DMPK in the pharmaceutical industry
- OR Master’s degree in life sciences, chemical engineering, pharmacokinetics, pharmaceutical sciences, or a related discipline with at least ten years of experience working with DMPK in the pharmaceuti
- Prior experience independently representing DMPK on project teams
Nice to have
- Experience with in vitro/in vivo drug metabolism or transporter approaches
- Experience with PK/PD and PBPK modeling approaches
- Experience with Phoenix/WinNonlin, SimCYP, Monolix, MATLAB SimBiology, or other equivalent software
Benefits
- competitive salary
- equity-based compensation
- healthcare (with dental and vision)
- 401k
- pre-tax commuter benefits
- flexible work schedule
- parental leave program
- over a month of paid vacation time
- company-wide events
About the company
Schrödinger's drug discovery and preclinical development team includes a cross-functional group of scientists and drug developers. The group is supported by software developers, engineers, and a large-scale compute infrastructure to apply a proprietary physics based drug design and optimization platform.