Associate Director, TQS Data Engineering & Infrastructure

At Genmab we are dedicated to building extranotordinary 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!

Support the mission of the Translational & Quantitative Science (TQS) data engineering function by creating high-quality data products that integrate preclinical and clinical translational datasets.

The TQS department at Genmab brings together capabilities across bioanalytical and biomarker sciences translational biology clinical and quantitative pharmacology and in vivo sciences. We deliver strong scientific rationale to drive pivotal go/no-go decisions and inform and accelerate (clinical) development of our highly differentiated antibody therapies. We generate and work with a diverse data ecosystem including non-clinical and clinical biomarker data multi-omics datasets imaging flow cytometry pharmacokinetic/pharmacodynamic data real-world data sources and more.

Role

This role blends hands-on development with technical leadership guiding the full lifecycle of data products to ensure they align with business goals and operate on scalable reliable data infrastructure. The candidate will partner closely with scientific teams to understand bespoke research needs and architect fit-for-purpose data/analytics workflows and infrastructure that meet the unique demands of translational research while ensuring that solutions align with modern data technology stacks and contemporary engineering best practices. Success requires expertise in data product management data/analytics engineering scientific knowledge of translational and clinical data and the ability to design strategic technically sound solutions that advance TQS within the R&D data ecosystem.

Responsibilities

• Design develop and maintain scalable data products and pipelines that integrate preclinical clinical and translational datasets ensuring reliability performance and reproducibility.
• Lead the end-to-end lifecycle of TQS data products including discovery prototyping architecture definition implementation validation and deployment in partnership with enterprise data engineering team.
• Architect modern data solutions using modern engineering patterns (e.g. lakehouse principles modular pipelines metadata-driven design) and develop fit-for-purpose data models ETL/ELT workflows and analytical infrastructure that meet the diverse needs of translational research
• Apply data product management principles to define features requirements and success metrics ensuring data products deliver measurable scientific and operational value while also guiding and managing the performance of the enterprise engineering team responsible.
• Ensure data quality and governance controls are embedded throughout pipelines including validation lineage capture and adherence to safety privacy and regulatory expectations (i.e. HIPAA GDPR etc.).
• Partner with enterprise engineering teams to deliver scalable automated and maintainable infrastructure and deployment workflows and drive data engineering excellence by enforcing best practices in code quality CI/CD pipelines testing observability and documentation within TQSs data engineering organization.
• Prototype new data or analytics approaches to evaluate emerging technologies tools or frameworks that could enhance TQS data capabilities.
• Mentor team members and scientific partners on data engineering principles modern data architecture

Requirements:

• BS/MS/PhD in Computer Science Bioinformatics or a related field
• 8 years of data engineering experience (Masters/PhD in a relevant field is a plus)
• Proficiency in Python R and SQL with proven experience building scalable production-grade data pipelines and cloud-based architectures that support translational and clinical research workflows.
• Strong experience with Databricks including Spark (PySpark SQL) Delta Lake and Unity Catalog; familiarity with DBT for data transformations within the Databricks ecosystem is a plus.
• Hands-on expertise with AWS services such as S3 Glue Lambda Step Functions Data-sync EMR Redshift and core IAM/networking concepts relevant to secure and compliant data engineering.
• Experience implementing CI/CD pipelines (GitLab or similar) data testing frameworks and infrastructure-as-code tooling (e.g. Terraform) to ensure reliable automated and scalable data operations.
• Familiarity with common translational and clinical data types such as flow cytometry cytokine and biomarker assay outputs genomics/transcriptomics (RNA-seq DNA-seq) proteomics and other multi-omics datasets. Scientific knowledge in oncology is a plus.
• Ability to support translational and clinical analysis through basic statistical methods and the development of dashboards or interactive tools (R Shiny
• Streamlit etc.) as well as business intelligence platforms such as Spotfire Tableau or Power BI to enable scientific decision-making.
• Solid understanding of data governance security and compliance requirements in enterprise and research environments including privacy considerations for clinical and biomarker data.
• Experience working in Agile/Scrum environments with the ability to manage sprint deliverables collaborate effectively with cross-functional teams and operate within iterative development cycles.
• Knowledge of GxP validation practices and e-system management experience in biotech/pharma R&D environments coupled with a strong understanding of how data flows across research and development stages.

For US based candidates the proposed salary band for this position is as follows:

The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and location. Also certain positions are eligible for additional forms of compensation such as discretionary bonuses and long-term incentives.

When you join Genmab youre joining a culture that supports your physical financial social and emotional wellness. Within the first year regular full-time U.S. employees are eligible for:

• 401(k) Plan: 100% match on the first 6% of contributions

• Health Benefits: Two medical plan options (including HDHP with HSA) dental and vision insurance

• Voluntary Plans: Critical illness accident and hospital indemnity insurance

• Time Off: Paid vacation sick leave holidays and 12 weeks of discretionary paid parental leave

• Support Resources: Access to child and adult backup care family support programs financial wellness tools and emotional well-being support

• Additional Perks: Commuter benefits tuition reimbursement and a Lifestyle Spending Account for wellness and personal expenses

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 youre 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 Genmabs 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 and follow us on LinkedIn and X.

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Please note that if you are applying for a position in the Netherlands Genmabs 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 fixed-term employment contract.