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Scientist (Sr.), Data Science

Company: GENMAB A/S
Location: Princeton
Posted on: June 13, 2021

Job Description:

Genmab is focused on the creation and development of innovative and differentiated antibody products, with the aim of improving the lives of cancer patients.

The Role:

As a Scientist (Sr.), you will work with a multidisciplinary international team of world-class scientists to transform how therapeutics are discovered and developed in the oncology space with a primary goal of serving cancer patients that continue to suffer from unmet medical needs.


  • You will contribute to several clinical development programs to help identify appropriate biomarkers, mechanisms of action, and new indications using cutting-edge data science tools.

  • You will derive new insights from the integration and analysis of clinical response, tumor transcriptomic/genetic data as well as imaging and circulating biomarkers to help advance the development of Genmab drug candidates.

  • You will help design, expansion, and maintenance of internal data curation and analysis pipelines.

  • You will work seamlessly with colleagues from Translational Research and Clinical Development to translate questions into data requirements, computational workflows, and intuitive summaries/visualizations.

  • You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.

  • You will report scientific results in patents, publications, regulatory documents and product-development reports.


  • You hold a MS or PhD degree in computational sciences with a strong background in immunology or biology, or vice versa.

  • You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus.

  • You have applied experience in clinical trials in the oncology setting.

  • You have good programming skills (R, Java, Python, etc) and are experienced in using relational databases as well as cloud services for storage and computing (AWS-S3, etc).

  • You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc).

  • You have built web-based analysis applications (R-Shiny).

  • You have worked with regulated environments such as GxP/GCP/GMP when working with tools and databases.

  • Published in high quality journals, references, and external presentations.

  • You have a 'getting things done' mentality, you are creative, pro-active, enthusiastic, out-of-the-box thinking and goal orientated.

  • Demonstrated ability to collaborate with a diverse and global group of scientists, research associates

Genmab employees work with determination and with respect for each other, consistent with our core values, to achieve our common goals. We give individuals and teams the autonomy to drive development of innovative products and solutions, knowing that integrity is a core value throughout our company. Genmab will offer the successful application a challenging position, where the right candidate will have the opportunity to work with highly specialised people across functions in an informal, multicultural culture, all aiming to make a difference for cancer patients.

Teamwork and respect are central pillars of Genmab's culture and we therefore ensure an inclusive, open, and supportive professional work environment across our international locations. We believe that fostering workplace diversity across social, educational, cultural, national, age and gender lines is a prerequisite for the continued success of the company. We are committed to diversity at all levels of the company and strive to recruit employees with the right skills and competences, regardless of gender, age, ethnicity, etc.

Please note that if you are applying for a position in the Netherlands; Genmab's policy for all permanently budgeted hires in this location is to offer a temporary agreement for one year, followed by a contract for indefinite time regardless of seniority.

Genmab A/S is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with you application on our website

Keywords: GENMAB A/S, Trenton , Scientist (Sr.), Data Science, Other , Princeton, New Jersey

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