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Plaats

Utrecht
Utrecht
Nederland

Contract

Vooltijds, Onbepaalde duur

Datum gepubliceerd

2025-12-05

Online tot

2026-02-03
EUR 15.00 HOUR

Intern, Discovery Data Science (Project: in Silico Biology)

Genmab
Utrecht Utrecht
1 dag geleden

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. Our internship program provides interns with hands-on experience and relevant projects that directly align with our company’s goals. We encourage you to review our website to learn why we’re always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary® future. We are looking for a highly motivated intern to join the Lead Generation and Screening Data Science team in Utrecht. As part of this internship, you will contribute to the development of in silico datasets and simulation frameworks that underpin data-driven discovery of next-generation antibody therapeutics. These resources will support hypothesis testing, guide experimental design, and provide a basis for predictive modeling of antibody function. You will collaborate closely with scientists, data analysts, and modelers across departments to define relevant parameters and encode them into computational models that can guide experimental strategy and data acquisition efforts. A project outline is already set up, yet there is room for you to shape the internship in a way that fits your interests as well as your school’s requirements.   Explore how synthetic data can inform design-of-experiments (DoE), model-based analyses, and quantitative modeling approaches. Collaborate with subject-matter experts to formalize assumptions into computationally testable scenarios. Communicate findings effectively to interdisciplinary project teams. Actively enrolled in a Master’s degree program at a Dutch university, or in an HBO-level Bachelor’s program in Bioinformatics, Biomedical Sciences, Computer Sciences, or a related field. Strong interest in data-driven research, simulation, and experimental design. Proficiency in Python (preferred) or R, and familiarity with data analysis and machine learning. Effective (English) communication skills and comfort collaborating across scientific disciplines. A creative and analytical mindset, with an eagerness to develop computational tools from concept to implementation. Internship duration: Location: Utrecht, Netherlands This is a full-time hybrid internship position (3 days onsite, 2 days remote).   Help us learn about you by submitting a complete and thoughtful application, which includes your CV and motivation letter. These are a way for us to initially get to know you, so it’s important to complete all relevant questions to ensure we have as much information about you as possible. We look forward to receiving your application and exploring the possibility of you joining our team to contribute to the advancement of antibody therapeutics! 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 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. 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. 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.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.

Solliciteren

Intern, Discovery Data Science (Project: in Silico Bio…

Plaats

Contract

Datum gepubliceerd

Online tot

Intern, Discovery Data Science (Project: in Silico Biology)

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