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

Are you excited about the intersection of AI and cancer immunology, and looking to apply your technical skills in a real-world biotech setting over a longer period of time?

We are looking for a student worker (approx. 15 hours per week) to join our ML & AI for Antibody Discovery and Development team within the Discovery Data Science department in Copenhagen. This is a long-term position (minimum 18 months), designed to run alongside your studies and allow you to build depth, ownership, and impact over time.

In this role, you will be part of a multidisciplinary, international team of scientists with deep expertise in antibody development and machine learning. Together, you will contribute to the development of next-generation antibody therapeutics by combining experimental data with advanced computational approaches. You will work at the interface of data science, machine learning, and biology, collaborating closely with both dry- and wet-lab researchers. Over time, you will help shape and structure your own work, with the opportunity to take ownership of projects and contribute to scalable solutions within the team.

Does this sound like something that interests you? We look forward to your application! Help us get to know you by submitting a CV and motivational letter.

Responsibilities

• Conduct exploratory data analysis and statistical analyses on biological datasets

• Build, train, and evaluate machine learning models for antibody design and discovery

• Experiment with methods, parameters, and datasets to improve model performance

• Contribute to the development of scalable and reusable code within shared codebases

• Translate complex technical results into clear and intuitive visualizations and presentations

• Collaborate with scientists across disciplines to define questions, interpret results, and iterate on approaches

• Over time, take ownership of (parts of) projects and help shape the structure of ongoing work within the team

Requirements

• Currently enrolled in a BSc or MSc program in Computer Science, Engineering, Machine Learning, Data Science, or a related field

• Based in Denmark and available for approximately 15 hours per week for a minimum of 18 months

• Interest in or exposure to biological data (e.g. proteins, antibodies)

• Strong programming skills in Python and experience working in a command-line environment

• Solid understanding of statistics and machine learning principles

• Experience with version control systems (e.g. Git)

• Able to work independently and proactively, with a structured approach to problem-solving

• Strong communication skills and ability to collaborate in a multidisciplinary, international environment

• Fluent in English (written and spoken)

• Experience with cloud platforms (e.g. AWS, Databricks) - nice to have

• Familiarity with MLOps tools (e.g. MLflow, Weights & Biases) - nice to have

• Experience with structural biology or molecular modelling tools (e.g. PyMOL, Rosetta) - nice to have

Intended Recruitment Timeline
 

• Application deadline: 13 April 2026

• Shortlisting: week of 13 April 2026

• Initial online screenings: week of 20 April 2026

• Onsite interviews: week of 27 April 2026

• Intended start date : 15 May/1 June

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

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