Commercial Data Engineer

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.

Your expertise

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 Commercial functions, including Data Science, Insights and Analytics, Digital Marketing, Medical Affairs, and across different markets such as US, Japan, and Global.  You will have a balance of subject matter expertise in Commercial analytics as they apply to a biotechnology company and technical expertise for hands-on implementation.  You will be expected to create workflows to standardize and automate data, connect systems, enable tracking of data, implement triggers and data cataloging.  With your experience in the commercial pharma domain, you will possess knowledge of diverse data ecosystems such as patient, EMR/EHR, internal CRM data like Veeva, digital channel datasets, and more.  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 that required being onsite 60% of the time in Princeton, NJ.

General 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)
• 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 processed commercial and scientific data
• Innovate and advise on the latest technologies and standard methodologies in Data Engineering and Data Management, and be able to identify software solutions that can address hurdles in data enablement
• 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 5+ years of software engineering experience or a PhD in Computer Science, Bioinformatics or a related field and 2+ 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 the Commercial analytics landscape at a biotechnology company and experience disseminating domain-specific data strategies with stakeholders
• Solid understanding and experience in working with commercial claims/EMR/EHR data sets like Komodo, Symphony, IQVIA, DRG, lab data, specialty pharma datasets and digital data sets like Veeva SFMC, Web, Social, CRM etc.
• 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:

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 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.