Scientist/Sr. Scientist, DMPK
General ProximityInduced proximity company
San Francisco, United StatesSenior
Y Combinator
Felicis
age1
Modi Ventures
Wilson Sonsini
Jim Dahl
Data & AI
About the role
TL;DR
Lead DMPK studies and contribute to drug discovery and development for induced proximity medicines.
- •General Proximity is seeking a first-rate DMPK expert to help pioneer the next generation of induced proximity medicines (IPMs).
- •This is a hands-on, high-impact role where you will design and execute DMPK studies, interpret data, and contribute to advancing programs from lead optimization through IND.
- •Key Responsibilities Design, execute, and interpret in vitro ADME studies (metabolic stability, CYP inhibition/induction, protein binding, permeability, solubility, transporter assays).
- •Design and support in vivo PK studies, perform PK data analysis, and integrate PK data with pharmacology and toxicology readouts.
- •Perform PK/PD modeling and simulation, including PBPK modeling and allometric scaling to support human PK prediction.
- •Support DMPK execution for IND-enabling programs and contribute to DMPK sections of regulatory submissions.
- •Serve as an active member of cross-functional project teams, contributing DMPK input to program planning and decision-making.
- •Requirements PhD in pharmacokinetics, pharmaceutical sciences, or a related discipline.
- •A minimum of 3 years of industry experience in DMPK, with a track record of contributing to small molecule programs.
- •Hands-on expertise in in vitro ADME and in vivo PK, with proficiency in PK data analysis (Phoenix WinNonlin or equivalent).
- •Familiarity with PBPK/PK-PD modeling platforms (Simcyp, GastroPlus, or equivalent).
- •Working knowledge of FDA, EMA, and ICH guidance relevant to DMPK.
Required skills
PythonRSQLBashPandasNumPySparkGitLinuxJiraConfluencePowerPoint
Domain expertise
biotechdeeptech
Benefits & perks
Strong equity incentives, Top tier medical, dental, and vision coverage + One Medical membership, 401(k) retirement plans, Education and health/fitness incentive programs, Meditation retreats, Reading budget
Tech stack
PythonRSQLBashPandasNumPySparkGitLinuxJiraConfluencePowerPoint