Intern, Clinical Pharmacology & Quantitative Science (Project: developing PBPK models in antibody medicine)

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us!

Why Genmab

Be part of the extra[not]ordinary®: This is our unique word meaning we go way beyond what is usual; to be remarkable; proudly unique and authentic. This is your opportunity to make a profound difference with one of the world’s top companies solely dedicated to antibody therapeutics – a people-charged biotech innovation powerhouse rooted in science and inspired by patients.

Our internship program provides interns with hands-on experience and meaningful projects that directly contribute to our company’s goals. Additionally, we believe that our program offers not just a chance to learn but also the opportunity to grow, network, and play a critical role in our efforts to make a difference for patients, every single day!

 

The Role

Accurate pharmacokinetic modeling is essential in preclinical drug development, particularly for biologics like therapeutic antibodies. Physiologically based pharmacokinetic (PBPK) models play a pivotal role in predicting Target-Mediated Drug Disposition (TMDD), guiding optimal dosing strategies and ensuring therapeutic efficacy and safety. At Genmab, we leverage quantitative approaches, including PBPK modeling, to better understand the pharmacokinetics of antibody-based therapeutics and their interactions with different targets to advance drug candidates.

As an intern within the Quantitative Translational Pharmacology team at Genmab, you will contribute to PBPK modeling projects. Your responsibilities will include analyzing and integrating diverse target expression datasets, including multi-level datasets such as protein abundance, mRNA expression levels, and immunohistochemistry (IHC) scoring and quantitative immunofluorescence, to support robust PBPK model development. Understanding the localization of therapeutic targets across different tissues and organs will be a crucial component of your analysis. You will gain practical experience in data handling, quantitative modeling, and scientific communication within a dynamic biotech environment. You will gain practical experience in data handling, quantitative modeling, and scientific communication within a dynamic biotech environment.

Responsibilities

• Collecting comprehensive target expression data from public databases, proprietary resources, and multi-level datasets (protein abundance, mRNA expression, IHC scoring, quantitative immunofluorescence).
• Developing computational tools, leveraging methods such as the sigmoidal conversion approach by Sepp & Muliaditan (2024), to integrate heterogeneous datasets into accurate and standardized target concentration estimates.
• Incorporating target localization information to enhance the accuracy and relevance of PBPK model predictions.
• Validating PBPK model predictions by comparing simulated outcomes against experimentally observed preclinical pharmacokinetic data for known therapeutic targets (e.g., EGFR, HER2).
• Effectively communicate results and insights through concise reports and clear presentations.

This internship provides an opportunity to engage directly with applied quantitative modeling in drug development, offering flexibility to tailor specific project directions according to your interests and expertise!

Requirements 

• Enrolled in a Master’s program in Statistics, Biopharmaceutical Sciences, Biomedical Sciences, Drug Innovation, Pharmacy, Data Science or a related field at a University in the Netherlands.
• Experience with R programming.
• Basic knowledge of cancer biology and/or immunology.
• You have experience in, or a strong interest in learning, single-cell data analysis and antibody drug discovery.
• You enjoy working collaboratively in a multidisciplinary team.
• Excellent communication and collaboration skills in English.
• Previous programming experience, ideally with the devel