Intern, Quantitative Translational Pharmacology

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!

Project Overview

CD3 bispecific T cell engagers (TCEs) are antibody-based therapeutics that binding both to a tumor associated antigen and CD3 on T cells, thereby directing the T cells to the tumor cells and activating them to kill the tumor. In preclinical development, mechanistic PK/PD models or QSP models are commonly used to predict the dose-exposure-response relationship and to project the pharmacologically active dose range in patients. Commonly, such PK/PD models for TCEs characterize the formation of ternary complexes (trimers) between T cell, antibody and target cell to link antibody concentrations to pharmacological activity (T cell activation, expansion, cytokine release, cytotoxicity). Models of varying complexity have been described in literature. However, the experimental work required to calibrate these models may be substantial, e.g. in vitro T cell mediated cytotoxicity experiments across multiple tumor cell lines, T cell donors, effector-to-target ratios, antibody concentrations and time points.

As an intern in the Quantitative Translational Pharmacology team at Genmab, you will contribute to developing a generic translational strategy for TCEs to make the early stages of drug development more efficient. Your responsibilities will include an evaluation of various TCE PK/PD models, their performance in describing the preclinical data and predicting clinical dose-response. Your recommendations for a translational modeling strategy that maximizes predictive value while minimizing experimental work required for model calibration will be of great value in speeding up the timelines of bringing candidate TCEs from discovery to patients.

You will work with diverse types of data, including molecular and cellular binding, T cell mediated cytotoxicity In vitro, nonclinical PK, tumor growth inhibition in xenograft mouse models, clinical PK and dose-response data.

You will gain practical experience in data handling, quantitative modeling and scientific communication within a dynamic biotech environment and experience the impact of modeling and simulation on key drug development decisions.

Responsibilities

• Review different TCE PK/PD models in literature and in-house; select and implement models that are potentially fit for purpose.
• Compile a dataset of in vitro and in vivo data and perform exploratory data analysis.
• Evaluate the capacity of candidate models to describe available preclinical data and to predict activity and side effects in patients.
• Weigh model accuracy and predictive value against the experimental data required for calibration and propose an optimal translational strategy.
• 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. Please note that you need to be actively enrolled in your degree for the duration of this internship.
• Basic knowledge of cancer biology and/or immunology.
• Some hands-on experience in PK/PD, PBPK and/or QSP modeling, including applying common methods for model calibration and diagnostics.
• You enjoy working collaboratively in a multidisciplinary team.
• Excellent communication and collaboration skills in English.

Preferred qualifications, capabilities and skills

• Experience with programming, preferably in R.
• Experience with concentration-response modeling.
• Familiarity with (model-based) design of experiments.
• Previous industry experience or internship in a related field.

General Intern Information

• Internship duration: 6-12 months.
• Start date: September/October 1st.
• Location: Utrecht, Netherlands
• Hybrid schedule: 3 days in the office, 2 days remote per week.

What’s next?

Help us learn about you by submitting a complete and thoughtful application, including your resume. Your CV and motivation letter are our first introduction to you, so please complete all relevant application questions to provide as much information as possible.

We will review each submission as quickly as possible to determine whether you meet the qualifications for the role. Due to the volume of applications, we cannot respond to inquiries regarding application status. If you advance to the next step, you will receive an invitation for further discussion. The final step includes interviews with hiring team members, after which we will communicate final decisions to all interviewed candidates.

We look forward to receiving your application and exploring the possibility of you joining our team to contribute to the advancement of antibody therapeutics!

About You

• You are genuinely passionate about our purpose

• You bring precision and excellence to all that you do

• You believe in our rooted-in-science approach to problem-solving

• You are a generous collaborator who can work in teams with a broad spectrum of backgrounds

• You take pride in enabling the best work of others on the team

• You can grapple with the unknown and be innovative

• You have experience working in a fast-growing, dynamic company (or a strong desire to)

• You work hard and are not afraid to have a little fun while you do so!

Locations

Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate.

About Genmab

Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X .

Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com) .

Please note that if you are applying for a position in the Netherlands, Genmab’s policy for all permanently budgeted hires in NL is initially to offer a fixed-term employment contract for a year, if the employee performs well and if the business conditions do not change, renewal for an indefinite term may be considered after the contract.