Key Skills

Job Description

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! The Role How can data from previous experiments help us better understand and improve antibody production? Would you like to combine your interest in biotechnology with data analysis, predictive modelling or laboratory work? We are looking for a curious and motivated student to join our CMC Process Development department in Utrecht. Working with colleagues from our Upstream and Downstream Processing teams, you will explore how historical bioprocess data can support digital twins and predictive models that guide future process development. The project will primarily focus on upstream processing (USP), using data from cell culture and bioreactor studies. You will help organize and visualize datasets, explore relationships between process parameters and outcomes, and assess how models can support process understanding and optimization. The balance between laboratory work and data analysis will be tailored to your academic background, learning goals and interests. Your project could focus more strongly on data organization and modelling, or include a larger experimental component through participation in ongoing USP studies. In either case, understanding the biological processes behind the data will be central to your work. You will receive guidance from experienced colleagues and work with different specialists across the department. This internship would suit someone who enjoys asking questions, connecting information and exploring how experimental work and modelling can inform one another. Please submit your CV and a motivation letter explaining your interest in the project. We would particularly like to hear whether you are most interested in laboratory work, data analysis and modelling, or a combination of these! Responsibilities Depending on the agreed project scope, your activities may include: Organizing, uploading and visualizing historical bioprocess datasets within a data platform. Exploring USP data to identify patterns, relationships and gaps relevant to process development. Developing, evaluating and refining digital twins or predictive models using available statistical and modelling software. Assessing model performance and identifying opportunities to improve predictions through additional data or experiments. Contributing to ongoing laboratory studies, including cell culture, bioreactor or scale-down experiments. Combining historical and newly generated experimental data to improve process understanding. Discussing findings with colleagues across USP and DSP to connect model outputs with practical process knowledge. Documenting your work and presenting conclusions and recommendations to the team. Requirements Currently enrolled at a Dutch educational institution in a university Bachelor’s or Master’s degree program, or in the final year of an HBO Bachelor’s program, in Biotechnology, Bioprocess Engineering, Life Sciences, Bioinformatics or a related discipline. This internship must be a formal, mandatory component of your degree program required for graduation. You must remain enrolled throughout the internship; we cannot consider graduates or students seeking an extracurricular internship. An interest in bioprocess development and in using data to understand and improve biological processes. A basic understanding of upstream processing, such as cell culture or bioreactor processes, gained through coursework or practical experience. Familiarity with statistics and data analysis. Experience with Python, MATLAB, JMP or similar tools would be an advantage. Laboratory experience is welcome, particularly if you are interested in a project with a larger experimental component. A curious and proactive approach, with the confidence to ask questions and seek input from colleagues with different areas of expertise. Good communication skills in English, both written and spoken. General Information Duration: Preferably 7–10 months, allowing sufficient time to develop the project and evaluate its findings. Preferred start date: 1 March 2027, aligned with our internship cohort so you can join fellow students for onboarding and shared learning activities. Location: Utrecht, Netherlands. Working arrangement: Full-time internship based at our Utrecht site. Opportunities for hybrid working will depend on the agreed project scope and laboratory activities. The project scope and balance between laboratory work and modelling will be agreed with your supervisors, taking into account your learning goals, internship duration, available datasets and ongoing experimental studies. Intended Recruitment Timeline Application deadline: 3 December 2026. Shortlisting and initial screening: Week of 7 December 2026. Onsite interviews: Week of 14 December 2026. The proposed gross annual base salary range for this position, in the primary location, based on a full time schedule is: EUR750,00---750,00 The final salary offer will depend on several factors, including your skills, qualifications, and experience. In addition to base salary, this position is eligible for additional forms of compensation, such as discretionary bonuses and long-term incentives. Benefits When you join Genmab, you become a part of a culture that supports your physical, financial, social, and emotional well-being. Our benefits include, but are not limited to: Pension Health insurance and wellness benefits Paid time off Employee support programs Further details on eligibility for compensation and benefits based on the role will be provided during the recruitment process. 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.

Core Responsibilities

Organize and analyze historical bioprocess data, explore relationships between process parameters and outcomes, and develop or evaluate digital twins and predictive models. Depending on the project scope, contribute to cell culture, bioreactor, or scale-down experiments, connect experimental findings with model outputs, and present conclusions to the team.

Requirements

Applicants must be enrolled at a Dutch educational institution in a relevant bachelor's or master's program, or in the final year of an HBO bachelor's program, and the internship must be mandatory for graduation. Candidates should have an interest in bioprocess development, basic upstream processing knowledge, and familiarity with statistics and data analysis; experience with Python, MATLAB, JMP, or laboratory work is advantageous.

Benefits

• Pension
• Health Insurance
• Wellness Benefits
• Paid Time Off
• Employee Support Programs