Senior Scientist, DMPK (Modeling & Simulation)

Vividion Therapeutics, Inc•San Diego, CA

14h•$130,000 - $175,000

About The Position

The DMPK Modeling & Simulation Scientist applies quantitative approaches in drug disposition, pharmacokinetics, and translational modeling to support discovery and development programs. The role integrates experimental DMPK and clinical pharmacology data with mechanistic and empirical models to inform candidate selection, predict human pharmacokinetics, support dose and regimen decisions, and enable data-driven decision-making across project teams. Depending on experience, the individual may independently lead modeling activities, shape program strategy, and act as a quantitative partner to multidisciplinary teams. The work uses PK, PBPK, PK/PD, exposure-response, target engagement, and other translational approaches to connect preclinical findings with clinical development and support forward and back translation to next-generation candidates. Vividion is a biotechnology company based in San Diego, using a chemical proteomics platform to identify and optimize drugs that selectively bind proteins, including previously undruggable targets. Its programs focus on novel mechanisms of action in oncology and immunology. The company describes its culture as collaborative and dynamic, with opportunities for mentorship and career progression. The exact level for this position depends on experience.

Requirements

Master’s or Ph.D. in Pharmacokinetics, Pharmaceutical Sciences, Chemical or Biomedical Engineering, or a related field.
Strong understanding of systems biology, physiology, pharmacokinetics, and pharmacodynamic principles.
Expertise in differential equation-based modeling and parameter estimation or optimization approaches.
Expertise with PBPK modeling platforms such as GastroPlus, Simcyp, or PK-Sim.
Extensive hands-on scripting experience for data handling, modeling, and statistics in R, Python, or similar tools.
Demonstrated ability to influence project strategy through quantitative decision-making.
Excellent written, verbal, and technical communication skills, and strong cross-functional collaboration skills.
Ability to lead, guide, and influence teams in decision-making.
Ability to work autonomously and collaboratively in a multidisciplinary team setting and thrive in a fast-paced, highly matrixed environment.
Strong understanding of DMPK, PK/PD modeling, human PK, and DDI prediction strategies.
Proven track record of leading studies to enable IND filing and contributing to drug discovery.
Ability to apply quantitative skills to model-based drug development and complex issue resolution.
Proficiency in managing CROs and robust knowledge of relevant regulatory guidance.
Passion for data-driven analysis and strong business-of-science thinking.
Ability to build and sustain relationships with R&D customers and the wider scientific community.

Responsibilities

Build and apply fit-for-purpose mechanistic and translational models, including PBPK, PK/PD, and target engagement models, to support discovery and development programs.
Integrate in vitro, in vivo, and clinical data using mechanistic and empirical modeling approaches to support first-in-human dose projections, clinical study design, regulatory submissions, and clinical pharmacology modeling and simulation.
Characterize relationships among exposure, target engagement, pharmacodynamic response, efficacy, and safety to inform therapeutic index assessments and dose and regimen selection.
Assess the impact of formulation, absorption, metabolism, transporters, and drug-drug interactions on pharmacokinetics.
Evaluate variability and uncertainty in PBPK, PK/PD, and target engagement predictions to support program and portfolio decisions.
Present scientific findings to project teams, governance committees, external collaborators, and regulatory agencies.
Depending on experience, lead modeling activities, shape program strategy, and serve as a quantitative partner to multidisciplinary teams.