(Senior) Research Associate, Translational Data Science

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

Genmab is currently seeking a (Senior) Research Associate in Translational Data Science, based in our Utrecht office in the Netherlands. This is a 6-month temporary position to support key tooling and infrastructure development within the Translational Data Science team, which is part of the Translational & Quantitative Sciences (TQS) organization.

You will join a multidisciplinary, international team of scientists dedicated to accelerating the translation of early research into clinical impact. In this role, your primary focus will be on extending and improving our internal Target Evaluation for Drug Development Shiny application, a tool developed in close collaboration with the Non-Clinical Safety (NCS) department. The application supports preclinical decision-making by integrating diverse data sources to inform target evaluation from multiple perspectives. You will incorporate additional features powered by Generative AI (GenAI), with a focus on generating summaries and extracting key insights from large datasets and textual sources relevant to target evaluation.

In addition, you will contribute to the optimization of internal pipelines, tools, R-based notebooks, and packages. This includes identifying opportunities to harmonize data sources, streamline analysis workflows, and build reusable tooling that supports consistent data interpretation across research programs. You will also support efforts to build internal data resources by curating and integrating public datasets, including bulk and single-cell RNA sequencing data, to enable downstream analysis within the team.

Under the guidance of a senior data scientist, you will collaborate closely with colleagues across TQS to gather requirements, implement features, and deliver tools that strengthen Genmab’s translational research capabilities.

Responsibilities

• Extend and maintain internal R/Shiny applications, with a focus on the Target Evaluation for Drug Development tool developed in collaboration with the Non-Clinical Safety team.

• Integrate Generative AI (GenAI) functionality to summarize and extract insights from large datasets and textual sources.

• Collaborate with scientific stakeholders to gather requirements and translate them into functional tool specifications.

• Support data curation efforts, including the in-housing and structuring of public bulk and single-cell RNA-seq datasets.

• Optimize internal pipelines, notebooks, and R packages to improve reproducibility and harmonization of analysis workflows.

• Ensure version-controlled, modular, and reusable code across projects.

• Present tools and updates in cross-functional settings and refine based on user feedback.

Requirements

• MSc degree (or BSc with equivalent experience) in bioinformatics, data science, computational biology, or a related field.

• 2–5 years of relevant experience in research, academic, or industry setting (data science or bioinformatics).

• Recent graduates (with suitable internships) or candidates with <2 years of experience are also welcome to apply.

• Solid programming experience in R, especially for Shiny application development.

• Familiarity with Python and/or single-cell RNA-seq workflow design.

• Experience with data curation and integration of public datasets.

• Exposure to modular code design, R package development, or workflow testing.

• Experience with RMarkdown, tidyverse (e.g., dplyr, ggplot2), and Git.

• Experience with GenAI or LLM-based summarization for knowledge extraction from scientific text.

• Experience working with genomics data, particularly bulk RNA-seq and single-cell RNA-seq.

• Basic knowledge of cancer biology or immunology.

• Understanding of preclinical research and translational workflows.

• Ability to design user-friendly, maintainable tools tailored to scientific use cases.

• Strong communication skills, including experience communicating genomics data to wet-lab scientists.

• Team player with excellent interpersonal skills and fluency in English (Dutch is not required).

• Able to work independently at the task level, with comfort working under project-level guidance.​

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.