Associate Principal Scientist, Translational PKPD Modeling & DMPK (Oncology)

Role Summary

Associate Principal Scientist, Translational PKPD Modeling & DMPK (Oncology) - An authority in Oncology with a focus on PKPD modeling and DMPK science applied to Cancer biology. Responsible for applying advanced PKPD modeling and simulation to deepen understanding of cancer biology and enhance drug discovery efforts, contributing to dose and schedule optimization for therapeutic interventions.

Responsibilities

• Represent Oncology DMPK, providing scientific leadership in cross-functional and external collaborations.
• Develop and apply PKPD models to explore the effects of target and pathway modulation, defining candidate drug target profiles.
• Predict human dose and regimen, contributing to exposure and pharmacodynamic biomarker-based decision-making for early clinical trials.
• Drive learning through back-translation of clinical exposure and pharmacodynamic data, offering strategic options for future clinical testing.
• Lead and participate in strategic scientific initiatives, continuous improvement projects, and external collaborations with academic or pre-competitive groups.
• Mentor students and postdoctoral fellows, contributing to the next generation of scientific talent.
• Present findings through publications, patents, and lectures, enhancing the visibility of translational research.

Qualifications

• Ph.D. in Modeling & Simulation, systems biology, quantitative pharmacology, pharmacometrics, chemical engineering, physics, pharmaceutical sciences, or applied mathematics.
• 5 years of relevant industry experience in Modeling & Simulation, ideally in preclinical/translational setting with a focus on biologics, or an MS degree with 8 years of proven industry experience.
• Experience in a project-facing role within pharmaceutical R&D.
• Strong understanding of DMPK and pharmacology in drug discovery, with a track record of delivering results in a fast-paced environment.
• Proficiency with tools such as WinNonLin/Phoenix NLME, NonMem, Berkeley Madonna, MATLAB, and SimCYP.
• Excellent interpersonal, communication, and leadership skills, with a passion for collaborative problem-solving.

Skills

• PKPD modeling and simulation
• Translational pharmacology
• Biologics-focused preclinical/ translational work
• Cross-functional collaboration
• Data interpretation and decision support for early clinical trials