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ISIsomorphic Labs

DMPK Lead (PBPK Specialist)(m/w/x)

Lausanne
Full-timeWith Home OfficeManagement
AI/ML
Data Science

Driving DMPK strategy for AI-driven drug discovery, optimizing computational ADME models. Practical experience setting up automated PBPK workflows required. Mission-driven work at the forefront of AI drug discovery.

Requirements

  • PhD in Pharmaceutical Science, Pharmacy, Chemistry, or relevant subject
  • 5+ years professional experience as DMPK Lead
  • Experience solving DMPK problems in preclinical development
  • Track record delivering regulatory-ready FIH packages collaboratively
  • Practical experience setting up automated PBPK workflows
  • Practical experience using PBPK for preclinical development
  • Practical experience developing DMPK and quantitative pharmacology packages
  • Experience authoring and reviewing regulatory documents, ideally oncology
  • Advanced knowledge of PK and PKPD modelling
  • Experience partnering with Preclinical and Clinical teams
  • Experience with biologics, peptides, and new modalities
  • Good understanding of machine learning techniques
  • Familiarity with Python and KNIME

Tasks

  • Drive DMPK strategy for drug discovery and development.
  • Deliver high-quality clinical candidates.
  • Use state-of-the-art computational ADME models.
  • Use state-of-the-art AI ADME models.
  • Optimize computational and AI ADME models.
  • Support business with AI/ML Drug Design Platform teams.
  • Collaborate to deliver scientific expertise.
  • Collaborate to deliver strategic direction.
  • Drive improvements in the AI/ML Platform.
  • Apply platform improvements to drug design projects.
  • Use PBPK modeling to integrate data.
  • Accelerate drug design and preclinical development.
  • Define Isomorphic Labs' PBPK strategy.
  • Develop fit-for-purpose PBPK models.
  • Drive drug design using PBPK models.
  • Accelerate preclinical development using PBPK models.
  • Design and implement stage-appropriate DMPK strategies.
  • Integrate quantitative pharmacology and project strategies.
  • Design mechanistic experiments.
  • Support project progression with data.
  • Integrate DMPK, PD, and toxicological data.
  • Extract decision-making information from data.
  • Predict dose and safety windows.
  • Define Quantitative Pharmacology strategy with Pharmacology Leads.
  • Optimize molecule design and formulation with Chemistry Leads.
  • Apply physico-chemistry knowledge to design.
  • Apply biotransformation knowledge to design.
  • Maintain knowledge of state-of-the-art technologies and methods.
  • Increase confidence in human PK prediction.
  • Author DMPK sections of regulatory documents.
  • Embrace a culture of inclusion.
  • Champion continuous professional development.
  • Optimize use of Isomorphic Labs' datasets.
  • Address fundamental DMPK questions.
  • Advance the DMPK field.

Work Experience

5 years

Education

Doctoral / PhD

Languages

EnglishBusiness Fluent

Tools & Technologies

PBPKDMPKPKPKPD modellingmachine learning techniquesPythonKNIME
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