DMPK Scientist — PK/PD Strategy & Impact

Schrödinger; San Diego (CA); On-site; USD 170,000 - 290,000; Full time

Benefits offered by this job

Healthcare (dental & vision)

401k

Pre-tax commuter benefits

Flexible work schedule

Parental leave

Job summary

Schrödinger seeks a DMPK Scientist in San Diego to lead ADME and PK/PD strategy across drug discovery programs. You will partner with cross-functional teams to turn molecular modeling insights into druggable candidates and drive data-driven decisions.

The role requires a PhD or advanced degree with extensive DMPK experience, hands-on PK/PD modeling, and expertise with software tools such as Phoenix/WinNonlin, SimCYP, Monolix or MATLAB SimBiology.

Qualifications

• PhD or Master’s with extensive DMPK experience in pharma.
• Independent experience representing DMPK on project teams.

Responsibilities

• Develop and drive DMPK and PK/PD strategies for drug discovery projects.
• Represent the DMPK group on internal and intercompany project teams to turn ideas into druggable candidates.
• Collaborate with CROs and internal teams to generate data for knowledge integration.
• Analyze and integrate in silico ADME, physicochemical, ADME and DMPK data for multiparameter optimization.
• Author/review regulatory submission reports and support interactions with regulators.
• Collaborate on predictive computational ADME/DMPK models.

Skills

ADME principles

PK/PD modeling

Data analysis

Scientific communication

DMPK expertise

Education

PhD in life sciences/related field

Master’s degree in life sciences/related field

Tools

Phoenix/WinNonlin

SimCYP

Monolix

MATLAB SimBiology

Job description

Schrödinger seeks a DMPK Scientist in San Diego to lead ADME and PK/PD strategy across drug discovery programs. You will partner with cross-functional teams to turn molecular modeling insights into druggable candidates and drive data-driven decisions.

The role requires a PhD or advanced degree with extensive DMPK experience, hands-on PK/PD modeling, and expertise with software tools such as Phoenix/WinNonlin, SimCYP, Monolix or MATLAB SimBiology.