Isomorphiclabs
Research Leader (DMPK), Cambridge, MA
Cambridge, MA. Posted 2 months ago
The role
DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates. You will use and contribute to the optimisation of state-of-the-art computational and AI ADME models.
What you will do
- Design and implement stage-appropriate DMPK strategies with AI-first approach
- Design screening cascade and mechanistic experiments to support project progression
- Integrate DMPK, PD and toxicological data to extract decision-making information
- Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads
- Optimise the use of Iso’s datasets to address fundamental DMPK questions
- Optimise molecule design based on physico-chemistry and biotransformation knowledge
- Maintain knowledge of state-of-the-art technologies and methods
- Author DMPK sections of regulatory documents
- Embrace and champion a culture of inclusion and continuous professional development
Required qualifications
- PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject
- 7-10+ years’ professional experience in a DMPK role, operating within a biotech or pharma setting
- Track record of working collaboratively to deliver high quality candidates
- Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development
- Experience authoring and reviewing regulatory documents
- Experience of partnering closely with Preclinical and Clinical teams
- In depth knowledge of biotransformation
- In depth knowledge of PK modelling and scaling of ADME properties
Nice to have
- Experience with peptides and other new modalities
- Advanced knowledge of PK/PD modelling
- Good understanding of machine learning techniques
- Familiarity with Python and R
About the company
Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. The company uses AI to model complex biological phenomena to help design novel molecules and develop innovative medicines.