At Genmab, we’re committed to building extra[not]ordinary futures together, by developing antibody products and pioneering, knock-your-socks-off therapies that change the lives of patients and the future of cancer treatment and serious diseases. From our people who are caring, candid, and impact-driven to our business, which is innovative and rooted in science, we believe that being proudly unique, determined to be our best, and authentic is essential to fulfilling our purpose.

The Role

The successful candidate will contribute to the mission of the global data engineering function and be responsible for many aspects of data including creation of data-as-a-product, architecture, access, classification, standards, integration, and pipelines. Although your role will involve a diverse set of data-related responsibilities, your key focus will be on the enablement of data for the Translational and Quantitative Sciences functions, including Data Science, Translational Medicine, Precision Medicine, and Translational Research. You will have a balance of subject matter expertise in life science data, terminology and processes and technical expertise for hands-on implementation. You will be expected to lead a data engineering group to create workflows to standardize and automate data, connect systems, enable tracking of data, implement triggers and data cataloging. With your experience in the Research domain, you will possess knowledge of diverse assay types such as IHC, flow cytometry, cytokine data, genomics, and systems such as LIMS and ELN. Your ultimate goal will be to place data at the fingertips of stakeholders and enable science to go faster. You will join an enthusiastic, agile, fast-paced and explorative global data engineering team.

We have a hybrid model requiring onsite presence 60% of the time in Princeton, NJ.

Responsibilities

Design, implement and manage ETL data pipelines that ingest vast amounts of scientific data from public, internal and partner sources into various repositories on a cloud platform (AWS)
Lead and coordinate a team of data engineers to meet stakeholder expectations while also maintaining conformity of enterprise data management practices
Enhance end-to-end workflows with automation that rapidly accelerate data flow with pipeline management tools such as Step Functions, Airflow, or Databricks Workflows
Implement and maintain bespoke databases for scientific data (RWE, in-house labs, CRO data) and consumption by analysis applications and AI products
Innovate and advise on the latest technologies and standard methodologies in Data Engineering and Data Management, including recent advancements with GenAI, and be able to identify solutions that can address hurdles in data enablement such as AI-powered data harmonization
Manage relationships and project coordination with external parties such as Contract Research Organizations (CRO) and vendor consultants / contractors
Define and contribute to data engineering practices for the group, establishing shareable templates and frameworks, determining best usage of specific cloud services and tools, and working with vendors to provision cutting edge tools and technologies
Collaborate with stakeholders to determine best-suited data enablement methods to optimize the interpretation of the data, including creating presentations and leading tutorials on data usage as appropriate
Apply value-balanced approaches to the development of the data ecosystem and pipeline initiatives
Proactively communicate data ecosystem and pipeline value propositions to partnering collaborators, specifically around data strategy and management practices

Requirements

BS/MS in Computer Science, Bioinformatics, or a related field with 12 years of software engineering experience or a PhD in Computer Science, Bioinformatics or a related field and 8 years of software engineering experience
Excellent skills and deep knowledge of ETL pipeline, automation and workflow managements tools such as Airflow, AWS Glue, Amazon Kinesis, AWS Step Functions, and CI/CD is a must
Excellent skills and deep knowledge in Python, Pythonic design and object-oriented programming is a must, including common Python libraries such as pandas. Experience with R a plus
Solid understanding of modern data architectures and their implementation offerings including Databricks’ Delta Tables, Athena, Glue, Iceberg, and their applications to Lakehouse and medallion architecture
Solid understanding of data paradigms such as data fabrics and data meshes, including roles of domain-specific data product ownership
Experience working with clinical data and understanding of GxP compliance and validation processes
Understanding of data quality tools and data governance tools
Proficiency with modern software development methodologies such as Agile, source control, project management and issue tracking with JIRA
Proficiency with container strategies using Docker, Fargate, and ECR
Proficiency with AWS cloud computing services such as Lambda functions, ECS, Batch and Elastic Load Balancer and other compute frameworks such as Spark, EMR, and Databricks

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

$170,625.00---$284,375.00The 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 bonuses.

About You

You are passionate about our purpose and genuinely care about our mission to transform the lives of patients through innovative cancer treatment
You bring rigor and excellence to all that you do. You are a fierce believer in our rooted-in-science approach to problem-solving
You are a generous collaborator who can work in teams with diverse backgrounds
You are determined to do and be your best and take pride in enabling the best work of others on the team
You are not afraid to 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 leverages the effectiveness of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are designed as open, community-based spaces that work to connect employees while being immersed in our state-of-the-art laboratories. Whether you’re in one of our collaboratively designed 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 guiding its unstoppable team to strive towards improving the lives of patients through innovative and differentiated antibody therapeutics. For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates. To help develop and deliver novel antibody therapies to patients, Genmab has formed 20 strategic partnerships with biotechnology and pharmaceutical companies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSOTM) antibody medicines.

Established in 1999, Genmab is headquartered in Copenhagen, Denmark with locations in Utrecht, the Netherlands, Princeton, New Jersey, U.S. and Tokyo, Japan.

Our commitment to diversity, equity, and inclusion

We are committed to fostering workplace diversity at all levels of the company and we believe it is essential for our continued success. No applicant shall be discriminated against or treated unfairly because of their race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, or genetic information. Learn more about our commitments on our website.

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 https://www.genmab.com/privacy.

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 fixed-term employment contract.