Senior Scientist/Scientist, Data Science

Key Skills

Java Programming, Design, Python Programming, SQL, AWS, Data science techniques, Deep Learning, Google Cloud Platform (GCP), R Programming, R-Shiny, Amazon Simple Storage Service (S3), Data Analysis

Job Description

As a Senior Scientist, 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.

This role has flexibility to be either Scientist or Sr. Scientist level depending on experience. The ideal candidate will be local to our Princeton, NJ location and can come onsite 2/3 days a week in our hybrid model. For the right candidate, we could consider remote work.

Responsibilities

• 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.

Requirements

• 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.

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 environment, with an aim to make a difference in the lives of people with cancer.

At Genmab, we pride ourselves on our unique culture. We are committed to make a positive impact on the lives of cancer patients. We hypothesize and experiment to seek innovative solutions, no matter the employee’s role; we speak up, empower each other, and embrace change and growth; we respect and celebrate our differences while working as one team. 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. Genmab employees work with determination, challenge the status quo and cultivate a growth mindset in everything we do.