Summer Co-op​/DMPK PBPK Modeling

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines.

We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included.

Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Drug Metabolism & Pharmacokinetics (DMPK) Group is responsible for integrating the absorption, distribution, metabolism, and elimination (ADME) characteristics of drug candidate molecules from in vitro, pre-clinical and clinical information. More specifically DMPK Modelling group provides in vitro to in vivo translation, human dose predictions, and clinical using compartmental pharmacokinetics (PK) and physiologically based pharmacokinetics (PBPK) and pharmacodynamics (PD). This co-op position will focus on Antibody-Drug Conjugates (ADCs), specifically on the mechanistic PBPK modeling for their payloads.

This position offers a unique opportunity to develop advanced ADC PBPK modeling skills within the DMPK Modeling group. The PBPK science Co-op will contribute to establishing a generic, reusable payload PBPK framework in Simcyp, applicable across diverse ADC modalities. This work will encompass:

• Comprehensive characterization of ADC payload ADME using both internal and published data.
• Independent development and validation of PBPK model for ADC payloads in Simcyp, often utilizing Trastuzumab-based ADCs as an exemplar system to explore mAb PK, linker stability, and payload exposure.
• Integration of mechanistic data or QSAR-predicted parameters to ensure broad applicability of models, identifying key data gaps and informing future ADC design strategies.
• Collaboration across various cross-functional teams (toxicology, biology, chemistry, clinical pharmacology, formulations) to apply model-informed drug development strategies for ADCs.
• Work towards building a template PBPK model in Simcyp for multiple ADC payload chemo types, integrating mechanistic sub-models or QSAR-based predictions.
• Present modeling outputs in internal team and department meetings.
• The goal is to be able to generate a high-impact publication detailing the generic ADC payload PBPK model and its applications.

• Pursuing a Master's or PhD in a relevant scientific discipline (Pharmacokinetics, Pharmacology, Biochemistry or other DMPK related sciences).
• Must be able to work full-time (35-40 hours/week) throughout the duration of the 3 to 6-month internship (May/June ~ August to December 2026).
• Must have an active student status and/or within 12 months post-graduation from a BS or MS degree program. Post-doctoral candidates are not eligible.

• Experience with application of PBPK software SimCYP.
• Basic knowledge of DMPK processes in drug discovery and development.
• Basic understanding of the in vitro/in vivo experiments used to describe general ADME principles especially drug absorption and drug distribution.
• Scientific writing and presentation ability with excellent verbal communication skills.

• Must successfully pass a drug screen and background check prior to assignment target start date.
• Once your application is submitted, you will be prompted to complete our…