Scientist/Sr. Scientist, DMPK at General Proximity | San Francisco, CA, US | Rezi

Scientist/Sr. Scientist, DMPK at General Proximity

Scientist/Sr. Scientist, DMPK

General Proximity · San Francisco, CA, US

Yesterday

Scientist/Sr. Scientist, DMPK

General Proximity · San Francisco, CA, US

a day ago
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About the Role

General Proximity is seeking an experienced DMPK expert to lead their drug metabolism and pharmacokinetics function. This is a hands-on, high-impact role focused on designing and executing DMPK studies, interpreting data, and contributing to cross-functional teams to advance programs from lead optimization through IND. The role is ideal for a scientist with several years of DMPK experience looking for greater ownership in a mission-driven company at the forefront of induced proximity medicine.

Responsibilities

  • Design, execute, and interpret in vitro ADME studies, including metabolic stability, CYP inhibition/induction, plasma protein binding, permeability, solubility, and transporter assays.
  • Contribute to in vitro–in vivo correlation (IVIVC) analyses.
  • Interpret metabolic soft spot and MetID data, providing guidance to medicinal chemistry teams.
  • Support CRO relationships for outsourced ADME studies, including scientific oversight and data quality review.
  • Support bioanalytical activities, including CRO-performed LC-MS/MS method development.
  • Help ensure GLP-compliant bioanalytical practices and monitor regulated bioanalysis timelines and data quality.
  • Contribute to fit-for-purpose bioanalytical approaches for induced proximity molecules.
  • Design and support in vivo PK studies across species, including study design, data interpretation, and cross-program learnings.
  • Perform high-quality PK data analysis (NCA and compartmental) using Phoenix WinNonlin or equivalent.
  • Integrate PK data with pharmacology and toxicology readouts.
  • Coordinate with CROs for in vivo studies, tracking scope, timelines, and scientific deliverables.
  • Perform PK/PD modeling and simulation, including PBPK modeling and allometric scaling for human PK prediction.
  • Apply quantitative pharmacology approaches to support translational decision-making, FIH dose selection, and clinical dose range prediction.
  • Use modeling and simulation to inform go/no-go decisions and communicate DMPK findings.
  • Present DMPK modeling results in cross-functional project team meetings.
  • Support DMPK execution for IND-enabling programs, including study design, drafting study reports, and data package delivery.
  • Contribute to DMPK sections of IND and CTA submissions; author and review relevant study reports and document sections.
  • Support preparation of DMPK materials for interactions with regulatory agencies.
  • Maintain working knowledge of current regulatory guidance (DDI, MIST, bioanalytical method validation, ICH M9/M10) and apply evolving standards.
  • Contribute to DMPK team goals and priorities.
  • Serve as an active member of cross-functional project teams, contributing DMPK input to program planning and decision-making.
  • Support DMPK input for scientific evaluations and collaborations.
  • Support clinical pharmacology activities as programs advance toward IND.
  • Help track CRO spend and study timelines.
  • Author and present scientific findings through peer-reviewed publications, conference abstracts, and posters.

Requirements

  • PhD in pharmacokinetics, pharmaceutical sciences, or a related discipline.
  • A minimum of 3 years of industry experience in DMPK, spanning drug discovery and development, with a track record of contributing to small molecule programs.
  • Demonstrated ability to work independently and collaborate effectively within cross-functional project teams.
  • Hands-on expertise in in vitro ADME and in vivo PK, with the ability to translate data into actionable drug discovery insights.
  • Proficiency in PK data analysis (Phoenix WinNonlin or equivalent) and familiarity with PBPK/PK-PD modeling platforms (Simcyp, GastroPlus, or equivalent).
  • Experience contributing to IND-enabling DMPK studies and authoring study reports.
  • Working knowledge of FDA, EMA, and ICH guidance relevant to DMPK (DDI, MIST, M9/M10, bioanalytical validation).
  • Strong communication and presentation skills, with the ability to clearly convey DMPK science to cross-functional teams.
  • Hands-on experience with bioanalytical activities, including LC-MS/MS method development in support of DMPK studies.
  • Working knowledge of clinical pharmacology principles, including FIH dose projection, DDI risk assessment, and exposure–response analysis, sufficient to support drug development through early clinical stages.
  • Experience working in a startup or early-stage biotech environment (Nice to have).
  • Experience contributing to a small molecule program advancing toward or through IND (Nice to have).
  • Experience with novel modalities such as TPD, molecular glues, or PROTACs (Nice to have).
  • Familiarity with AI/ML-based ADME prediction tools and an interest in integrating computational approaches into the DMPK workflow (Nice to have).

Skills

  • Drug Metabolism and Pharmacokinetics (DMPK)
  • In Vitro ADME
  • Metabolic Stability Assays
  • CYP Inhibition/Induction Assays
  • Plasma Protein Binding Assays
  • Permeability Assays (Caco-2/MDCK)
  • Solubility Assays
  • Transporter Assays
  • In Vitro-In Vivo Correlation (IVIVC)
  • Metabolic Soft Spot Analysis
  • MetID Analysis
  • Bioanalytical Sciences
  • LC-MS/MS Method Development
  • GLP Compliance
  • In Vivo Pharmacokinetics (PK)
  • PK Data Analysis (NCA, Compartmental)
  • Phoenix WinNonlin
  • PK/PD Modeling
  • PBPK Modeling
  • Simcyp
  • GastroPlus
  • Allometric Scaling
  • Human PK Prediction
  • Quantitative Pharmacology
  • IND-Enabling Studies
  • Regulatory Submissions (IND, CTA)
  • ICH Guidance
  • Cross-Functional Collaboration
  • Clinical Pharmacology
  • FIH Dose Projection
  • DDI Risk Assessment
  • Exposure-Response Analysis
  • Induced Proximity Medicines
  • Bifunctional Molecules
  • TPD
  • Molecular Glues
  • PROTACs
  • AI/ML-based ADME prediction
  • Computational Approaches

Location

  • San Francisco Bay Area

Work Type

  • Full-time
  • Onsite

Experience Level

  • 3+ years industry experience
  • Senior

Education Level

  • PhD

Salary/Compensations

  • Commensurate with experience

Benefits

  • Strong equity incentives
  • Top tier medical, dental, and vision coverage
  • One Medical membership
  • 401(k) retirement plans
  • Education and health/fitness incentive programs
  • Paid meditation retreats (separate from vacation)
  • Reading budget

About the Company

  • General Proximity is a seed-stage startup developing the next generation of induced proximity medicines (IPMs) using their OmniTAC drug discovery engine.
  • They focus on creating molecules that co-opt existing cellular machinery to address previously undruggable therapeutic targets.
  • The company is located in the MBC BioLabs at 135 Mississippi Street, an entrepreneurial hub in the Bay Area.
  • They foster a 'Work Hard/Play Hard' culture, valuing efficiency and clear communication through well-written documents.
  • General Proximity emphasizes a 'writing-first' culture to promote clarity of thought, ideation, and alignment.
  • They are committed to growth, seeking independent individuals who can wear multiple hats and providing positive feedback loops for professional development.

Equal Opportunity

  • Applications from candidates of diverse backgrounds, women, and members of underrepresented minority groups are particularly welcomed.