Associate Director, Bioinformatics Data Engineering

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.

• Design, develop, and maintain scalable data pipelines for processing genomic, transcriptomic, proteomic, and other biological data.
• Optimize data storage and retrieval systems for large-scale biological datasets using cloud hyperscalers (AWS, GCP, or Azure).
• Demonstrated proficiency in utilizing tools and techniques on AWS cloud platforms, including Databricks, along with a solid understanding of data engineering practices. Familiarity with Terraform, PySpark, Gitlab and Jenkins are also preferred.
• Collaborate with bioinformatics scientists to develop data processing workflows and support computational analysis.
• Implement and maintain E2E Data Management frameworks ensuring data quality, data validation, error handling, and monitoring.
• Develop and enforce data security best practices, including data access control and compliance with data protection regulations (e.g., GDPR, HIPAA).
• Design and maintain data models, databases, and metadata systems to support efficient data management.
• Write clean, maintainable, and well-documented code using Python, R, SQL, or other relevant languages.
• Collaborate with software engineers to integrate bioinformatics data pipelines into larger software solutions.
• Stay current with emerging bioinformatics tools, data engineering practices, and industry standards.

• Lead, mentor, and manage a team of bioinformatics data engineers, front-end developers by providing technical guidance, code reviews, performance feedback, and career development support.
• Set clear goals and expectations for team members, conducting regular performance reviews.
• Coordinate team efforts to ensure the timely delivery of high-quality data engineering solutions.
• Facilitate team training sessions and knowledge-sharing activities to enhance team capabilities.
• Collaborate with the Sr. Director of Research Data to plan team resources, define project priorities, and ensure alignment with company goals.
• Foster a positive and inclusive team culture that encourages innovation and continuous improvement.

• Ph.D. in Bioinformatics, Computational Biology, Computer Science, Computational Data Science (OR) Bachelors'/Masters' degree in relevant technical and scientific field with 12+ years of technical experience.
• 8+ years of experience in data engineering, with at least 2 years in a leadership or team management role.
• Experience with programming languages (e.g. Perl, Java,, Python)
• Strong experience with cloud hyperscalers (AWS/Azure/GCP) and Databricks.
• Solid programming experience in R, especially for Shiny application development.
• Exposure to modular code design, R package development, or workflow testing.
• Strong communication skills, including experience communicating genomics data to wet-lab scientists.
• Experience with data pipeline frameworks (Apache Airflow, Prefect, Luigi) and ETL processes.
• Strong understanding of data modeling, database design (SQL and NoSQL), and metadata management.
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with genomic data formats (FASTQ, BAM, VCF, h5ad) and bioinformatics tools (BWA, GATK, STAR, CellRanger) as well a general understanding of common assays used in life sciences (omics, FACS, etc.)
• Proven leadership and team management skills, with experience mentoring and developing junior engineers and front-end developers.
• Experience with data curation, management and integration of public datasets.
• Experience working with genomics data, particularly bulk RNA-seq and single-cell RNA-seq. Basic knowledge of cancer biology or immunology.
• Ability to design user-friendly, maintainable tools tailored to scientific use cases.

• Experience with machine learning frameworks (TensorFlow, PyTorch) in bioinformatics applications.
• Experience with GenAI or LLM-based summarization for knowledge extraction from scientific text.
• Knowledge of regulatory compliance (HIPAA, GDPR) for biomedical data.
• Prior experience working in a high-performance computing environment.

• 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!