Data Science Engineer

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!

Role

At Genmab, we are driven by a deep commitment to transforming the lives of patients with cancer and other serious diseases through innovative antibody therapeutics. To achieve this, we rely on data - reliable, integrated, and ready to power discovery.

We are looking for a Data Science Engineer to join our Discovery Data Science team within Early Research. In this role, you will help shape the foundation that enables our scientists to turn complex biological data into meaningful insight. You will work at the intersection of data engineering, data science, and machine learning engineering, building the infrastructure and tools that make high-quality research data accessible and actionable.

• Build and maintain scalable ETL pipelines for experimental, biological, and pharmacological data.
• Integrate data from multiple sources such as GeneData, LabVantage, CROs, and cloud platforms into unified analytical environments.
• Automate recurring workflows to ensure data quality, accessibility, and reproducibility.

• Collaborate with data scientists to implement and operationalize AI and machine learning models into production-ready pipelines on cloud and HPC environments.
• Monitor and maintain deployed models to ensure performance, scalability, and traceability.

• Develop scripts, APIs, and workflows to connect laboratory systems such as GeneData Biologics and LabVantage with central analytics environments.
• Automate data extraction, transformation, and loading to ensure seamless data flow across research systems.

• Contribute to metadata and data cataloging, for example using Unity Catalog, to improve findability, accessibility, and governance.
• Implement best practices to ensure that data remains reusable, transparent, and well-documented.

• Act as the technical link between Discovery, IT, and Data Science teams.
• Translate scientific and technical needs into robust, scalable solutions.
• Provide responsive technical support to scientists to ensure data accessibility and workflow reliability.

• MSc in Computer Science, Data Science, Computational Biology, or a related field.
• Three to five years of relevant experience in data engineering or scientific data environments.
• Proficiency in Python and version control systems such as Git.
• Experience with AWS services including S3, Lambda, ECS, Glue, and Step Functions.
• Strong understanding of data integration, workflow automation, and pipeline design.
• Excellent communication skills with the ability to explain technical solutions clearly to scientific and technical colleagues.
• Proactive problem solver who can adapt quickly to changing priorities.
• Based in the Netherlands, or in Denmark.

• Application deadline: November 3
• Shortlisting: Week of November 3
• Initial online screenings: Week of November 10
• Onsite interviews: Two rounds for the weeks of November 17 and 24

• 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!