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
As Associate Director, Bioinformatics Data Engineer, you will play a critical role in designing, implementing, and optimizing scalable data pipelines for processing large-scale genomics and biomedical data as well as building front-end user-friendly data products. In addition to hands-on technical work, this role includes leadership responsibilities, managing and mentoring a small team of data engineers/front-end developers. You will collaborate with cross-functional teams, including bioinformaticians, wet-lab scientists, data scientists, and software engineers, to support advanced analytics and bioinformatics research. This role is within our Global Data & Governance, Digital, Data & AI department and will report to our Senior Director, Data Products – Research & Enabling Functions.
We are looking for a highly skilled and experienced Bioinformatics Data Engineer who shares a passion for full-stack development to join our team and help drive data-driven discoveries.
Responsibilities
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.
Team Management Responsibilities:
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.
Requirements
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.
Additional preferences:
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.
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.
