Translational PK-PD Modeling Intern

Job Description

About the Role
This internship seeks a highly motivated graduate-level intern to support translational PK-PD modeling efforts focused on antibody–drug conjugates (ADCs) containing the vedotin payload. The intern will investigate the mechanistic and translational drivers of variability in preclinical tumor static concentration (TSC) estimates across vedotin ADCs and evaluate modeling strategies to improve interpretation of preclinical efficacy signals. The intern will work closely with clinical pharmacology and translational modeling scientists to inform early ADC candidate selection and development decisions.

What You’ll Do
• Curate, harmonize, and quality check in vitro and in vivo preclinical datasets across multiple vedotin ADCs.
• Standardize xenograft PK/PD model structures and tumor static concentration (TSC) estimation approaches across compounds.
• Perform comparative multivariate and model based analyses to identify key drivers of TSC variability.
• Evaluate existing translational PK/PD models and their assumptions across comparable experimental conditions.
• Explore alternative mechanistic, semi mechanistic, or systems informed translational modeling strategies to rationalize observed TSC differences.
• Interpret findings in the context of preclinical translational relevance and early ADC decision making.
• Prepare a final technical summary and presentation outlining modeling results and recommendations.

You’re a Good Fit If You
• Are enrolled in a graduate program (MS, PhD, PharmD, or equivalent) in pharmacometrics, clinical pharmacology, biomedical engineering, biostatistics, quantitative biology, or a related field.
• Possess strong quantitative and analytical skills with demonstrated interest in translational PK/PD modeling.
• Have experience programming and analyzing data in R (or equivalent statistical software).
• Are familiar with PK/PD concepts, multivariate analysis, and model based data interpretation.
• Have the ability to synthesize complex quantitative results and communicate findings clearly to scientific audiences.

Bonus Qualifications
• Prior experience with PK/PD or mechanistic modeling, particularly in oncology or biologics.
• Familiarity with xenograft efficacy modeling and preclinical tumor growth models (PK-TGI).
• Exposure to antibody–drug conjugates (ADCs), payload pharmacology, or target mediated drug disposition.
• Experience integrating in vitro and in vivo data to support translational modeling.
• Interest in model informed drug development (MIDD) and early portfolio decision making.

Role Highlights & Compensation
• Duration: 3 months (10–12 weeks)