DMPK Scientist
Schrödinger
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Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, Deep learning. Practise those questions before you sit with Schrödinger.
Questions you are likely to be asked
- Why do you want to join Schrödinger?
- What is your experience with MATLAB? Tell me one thing you learned the hard way.
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
- Tell me about a problem you solved at work that you are proud of.
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Practise the DMPK Scientist at Schrödinger interview free →We’re seeking a DMPK Scientist to join us in our mission to transform the discovery of therapeutics!
Our drug discovery and preclinical development team includes a cross-functional group of scientists and drug developers with experience working on all common target classes and therapeutic areas. The group is supported by more than 100 software developers and engineers, as well as a large-scale compute infrastructure to apply our proprietary physics based drug design and optimization platform. Ten of the programs we’ve worked on have progressed into preclinical development, with nine currently in clinical trials and one approved by the FDA.
Who will love this job:
- A DMPK analysis expert, who understands ADME principles and applications throughout drug development applications throughout drug discovery and development
- A scientist with a robust background in DMPK who has specialized in the use and application of any of the following:
o In vitro/in vivo drug metabolism or transporter approaches to identify potential ADME liabilities and aid in compound optimization
o PK/PD and PBPK modeling approaches to optimize compound selection, dose optimization, and study design (this includes experience with commonly-used PK/PD software, such as Phoenix/WinNonlin, SimCYP, Monolix, MATLAB SimBiology, or other equivalent software)
- A proven Principal Investigator and scientific strategist who’s self-driven and results-oriented
- A highly motivated, self-driven, and results-oriented data-analyzer
- An excellent communicator and presenter who can work both as a team player and a project driver
- A flexible, curious scientist who’s excited about networking and building internal and external relationships
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 to help turn molecular modeling design ideas into druggable novel chemical entities
- Collaborate with internal and intercompany project team members and external CROs to generate relevant data to enable knowledge and data integration
- Analyze and integrate in silico ADME predictive solutions, physicochemical, ADME, and DMPK data to impact multiparameter optimization
- Author and/or review appropriate reports for regulatory submission of development drug candidates and ensure the overall quality of the studies and interpretation (this entails supporting interactions with regulatory agencies)
- Collaborate with scientific development team on establishment of predictive computational ADME/DMPK models
What you should have:
- 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 pharmaceutical industry
- Prior experience independently representing DMPK on project teams
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Listed on greenhouse · posted 2026-10-13. ApplySarthi collects openings and links to application pages; the role is advertised by Schrödinger, not by us.