19 Apr
Senior Scientist, Data Science
New Jersey, Princeton , 08540 Princeton USA

Vacancy expired!

The Role: 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.

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

Requirement:
  • 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 GxPP/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

Vacancy expired!


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