Senior AI Solutions 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!

The Role

Genmab is seeking a Senior AI Solutions Engineer to join the Discovery Data Science department in Utrecht. This is a highly collaborative role within the Discovery organization, focused on translating artificial intelligence and machine learning innovations into robust solutions that accelerate antibody discovery.

You will work in a multidisciplinary, international team of data scientists, software engineers, and research scientists with expertise spanning immunology, high-content imaging, computational biology, and antibody discovery. Together, you will develop and deploy AI-driven solutions that support scientists across the Discovery Research organization, enabling more efficient data analysis, decision making, and experimental workflows.

As a Senior AI Solutions Engineer, Discovery Data Science, you will play a key role in operationalizing internal and external AI models by integrating them into existing laboratory and computational workflows. You will collaborate closely with research scientists, data engineers, and software developers to ensure that machine learning models are scalable, reliable, and deliver measurable scientific impact.

Genmab places a high value on innovative data science and AI technologies to enhance drug discovery. This role offers the opportunity to work at the intersection of research and engineering, helping bring state-of-the-art AI solutions from proof-of-concept into everyday scientific practice while contributing to the development of transformative antibody therapeutics.

Responsibilities

• Collaborate with Discovery scientists, data scientists, and software engineers to deploy AI and machine learning models into research workflows.

• Translate research prototypes into robust, scalable, and maintainable production solutions that can be adopted by scientists across the Discovery Research organization.

• Develop and maintain data processing, inference, and automation pipelines supporting AI-enabled applications, particularly in imaging and other high-dimensional biological data.

• Work closely with laboratory scientists to understand operational needs and continuously improve AI-driven tools based on user feedback.

• Contribute to the integration of AI solutions with existing data platforms, laboratory systems, and cloud-based infrastructure.

• Monitor, validate, and maintain deployed models, ensuring performance, reproducibility, and compliance with internal quality standards.

• Identify opportunities to automate repetitive data analysis tasks and improve operational efficiency through modern data science and software engineering practices.

• Communicate technical solutions and project progress effectively to colleagues with diverse scientific and technical backgrounds.

• Participate in scientific and technical discussions, contributing ideas that advance AI adoption across Discovery Research.

Requirements

• MSc degree (or BSc with relevant experience) in Data Science, Computer Science, Bioinformatics, Artificial Intelligence, Computational Biology, Engineering, or a related quantitative discipline.

• 2–5 years of experience in data science, machine learning, software engineering, or scientific computing, preferably within life sciences or biotechnology.

• Strong programming skills in Python and experience developing maintainable, production-quality code.

• Experience deploying machine learning or deep learning models into production or operational environments.

• Familiarity with software development best practices, including Git, testing, documentation, and CI/CD workflows.

• Proven experience working with cloud computing platforms and containerized applications (e.g., Docker, Kubernetes, Azure or AWS).

• Understanding of machine learning lifecycle management, model monitoring, and reproducible computational workflows.

• Project & Stakeholder Management: Demonstrated ability to manage multiple external collaborations and operational workstreams simultaneously. Excellent communication skills, with the ability to translate technical issues into clear guidance for both scientific and non-technical stakeholders.

• Operational Problem Solving: Comfortable working independently in ambiguous environments. Strong analytical and organizational skills with the ability to identify bottlenecks, improve processes, and drive operational efficiency.

• Fluent in English, both written and spoken.

Intended Recruitment Timeline

• Application deadline: Monday 17 August (end of day).

• Shortlisting: week of 17 August.

• Virtual screenings: weeks of 24 August.

• Onsite interviews: first two weeks of September.

• Intended start date: 1 Nov.

The proposed gross annual/monthly base salary range for this position, in the primary location, based on a full time schedule is:

EUR69.600,00---104.400,00


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.

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.