• Job Description

  Req#: R9905

  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 Translational & Quantitative Science data engineering function and be responsible for all aspects relating to translational data including architecture, access, classification, standards, integration, pipelines, and visualization. The successful candidate will be responsible for a diverse set of data-related responsibilities, your expertise will be on architecture and data enhancements in the field of preclinical and clinical translational data, as well as Development and Clinical trial data.

  You have experience in data architecture and using tools such as Step Functions to create workflows, connect systems, enable tracking of data, implement triggers and configure programmatic accessibility to enable job automation and you will be required to share your expertise throughout the group. You feel comfortable when working in the cloud (AWS) and in your day to day work you follow best coding practices.

  This position reports to the Vice President, Head of Translational & Quantitative Science Data Management and Clinical Biomarker Operations

  Responsibilities

  • Build and automate GCP compliant clinical pipelines to visualize biomarker, efficacy, PK/PD and safety outcomes spanning Bioanalytical Sciences, Translational Research, Precision Medicine, Pharmacology, Non-Clinical Safety and Translational Data Science.

  • Establish data governance and data access control layers for clinical trial data to ensure compliance with country specific privacy laws (i.e. HIPAA, GDPR, APPI).

  • Utilize the knowledge in machine learning (ML), NLP, and intelligent document processing (including OCR) to develop and implement advanced data processing systems.

  • Apply expertise in software development to design and build efficient data pipelines and solutions that improve current business process and reduce time value.

  • Collaborate with cross-functional teams to understand business requirements and develop AI/ML applications that support TQS digital transformation initiatives.

  • Stay up to date with emerging technologies in the field of data engineering and identify opportunities to leverage them for enhanced efficiency and performance.

  • Optimize data workflows and implement scalable solutions to accelerate AI adoption and streamline data processes.

  • Document and communicate data engineering processes, best practices, and insights to stakeholders, promoting knowledge sharing and collaboration.

  • Design, implement and manage ETL data pipelines that ingest vast amounts of commercial and 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.

  • 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, including expertise in your focus area, and establishing templates and frameworks, determining best usage of specific cloud services and tools, and working with vendors to provision cutting edge tools and technologies.

  Requirements

  • BS/MS in Computer Science, Bioinformatics, or a related field with 5+ years of software engineering experience or a PhD in Computer Science, Computational Biology or related fields combined with 2+ years of experience in ML, intelligent document processing, and software engineering.

  • Experience working with GxP and non-GxP data.

  • Excellent skills and deep knowledge in Python, Pythonic design and object-oriented programming is a must, including common Python libraries such as Pandas and NumPy. Experience with R a plus.

  • Experience working with data types of flow cytometry, transcriptomics, IHC, and genomics.

  • Preferred knowledge of ETL pipeline, automation and workflow managements tools such as Airflow, AWS Glue, AWS Step Functions, and CI/CD practices.

  • Preferred understanding of the Databricks offerings including Delta Tables, Lakehouse architecture, and workflows

  • Solid understanding of databases and query engines such as PostgreSQL, Elasticsearch, Redshift, Athena, and Aurora, including distributed database design, SQL vs. NoSQL.

  • Solid understanding of AWS cloud computing services such as Lambda functions, EC2, Batch and other compute frameworks such as Spark, EMR, and Databricks.

  • Proficiency with modern software development methodologies such as Agile, tools for source control, project management and issue tracking with JIRA.

  • Proficiency with containerization strategies using Docker, Fargate, and ECR

  • Proficiency with Linux and shell scripting

  This role can sit in Copenhagen, Denmark, Utrecht, The Netherlands, or Princeton, NJ, USA and is hybrid.

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

  $170,625.00---$284,375.00

  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.

  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 (KYSO™) 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.

• About the company

  Genmab A/S is a Danish biotechnology company, founded in February 1999 by Florian Schönharting, at the time managing director of BankInvest Biomedical venture fund.

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