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 & Department

As a Senior Software Engineer, Data Visualization, R&D Digital Products you will join our IT R&D (Research & Development) Team and play a crucial role in enabling intelligent visualizations across various tools used in scientific data analysis and decision-making. The successful candidate will work with a team of developers, engineers, and architects to create data visualizations for innovative solutions that improve efficiency and productivity, supporting R&D business requirements. The Senior Software Engineer will be responsible for transforming complex data into actionable insights and have experience with visualization tools for Research, Discovery, and Development to enable data-driven insights to the R&D business.  

Key Responsibilities Include

• Design, develop and implement data visualization tailored for R&D functions and related systems such as Research Informatics, SDMS (Scientific Data Management System), Lab Management Systems, Research Data products, Pathology, Imaging, Pharmacology, Development Operations etc

• Design and create visually compelling and informative dashboards, reports, and interactive visualizations that are intuitive, user-friendly, and enable actionable insights

• Deliver Data visualizations to improve speed and value for R&D Organization’s Clinical Trial programs and related functions such as eTMF, CTMS/Trial oversight, Medical and Safety dashboards, Biomarker data insights, Biomarker sample tracking, data quality oversight, and real-world evidence dashboards. Track potential risks for early identification and iterate to deliver updated enhancements

• Working closely with development teams, data engineers and data scientists, operationalize advanced statistical and analytical models by building front-end user experiences, dashboards, and interactive elements

• Implement data visualization solutions using tools such as Qliksense, Grafana, Kibana, R-Shiny dashboards, Spotfire, Tableau, D3, and PowerBI, interacting with scientific systems

• Make data visualization accessible and understandable using FAIR principles (Findability, Accessibility, Interoperability and Reusability) for researchers, scientists, and other stakeholders

• Build and deliver charts, graphs, maps to present different types of data, including data from AWS Data Lakes, data warehouse query optimized and non-optimized environments, and medallion architecture-oriented Lakehouse like constructs

• Deliver natural language insights, ad-hoc analysis, data discovery, drag-and-drop visualization, and customizable extensions to tailor data visualization to specific business needs and requirements

• Leverage visualization tools in DevOps for providing insights into the performance metrics of various systems and applications, real-time insights, tracking KPIs and identifying areas for continuous improvements

• Collaborate with IT R&D POD Managers, Product Owners, and Business Leaders, in an Agile framework, to ensure alignment with business and scientific objectives

• Collaborate closely with cross-functional teams, including Technical Product Owners, Technical Delivery leads, developers, data engineers, data scientists, AI/ML Engineers, and domain experts, to design data visualization solutions across R&D

 
Requirements 

• Experience in Life Sciences, Biotech or Pharma industry is a must have

• Bachelor’s degree in computer science, Engineering, Information Systems, Data Science, or related field. Master’s degree preferred

• At least 5 years of experience in data visualization development, testing, and deployment using cloud-based platforms and tools

• Proven proficiency in at least three or more of the following tools – PowerBI, Tableau, Spotfire, R-Shiny dashboards, Grafana, Kibana or similar, and familiarity with data visualization best practices and principles

• Proficient in one or more programming languages such as Python, R, JavaScript, and experience having worked with plotting libraries and data visualization packages

• Strong problem-solving, analytical, and excellent communication skills to translate complex concepts into clear visual representations

• Knowledge of cloud computing concepts and services such as AWS, Azure, or Google Cloud Platform, is preferred

• Knowledge of artificial intelligence, machine learning, and big data is preferred

• Certification in Data Visualization Fundamentals, Tableau, PowerBI, Infographics is nice to have. Additional certification in Cloud Computing, AI/ML is a plus

This role can be located in Copenhagen (DK) or Utrecht (NL) and is hybrid.

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.