What you’ll be doing:

• Work in a interdisciplinary team of molecular and computational biologists, data scientists, and machine learning experts to facilitate the application of WGS and ML in oncology
• Assist in the development of the Gordion Target ID platform to discover and assess novel therapeutic targets for cancer
• Collaborate with bioinformaticians and data scientists to integrate computational data with biological expertise, accelerating the generation of valuable insights
• Stay up-to-date with the latest scientific advancements in cancer research and contribute to the implementation of new methodologies and enhance drug target prioritization
• Write and review abstracts/manuscripts, etc. for presentation/publication
• Continuously align with leadership on project priorities for both personal and team objectives

Our requirements:

• PhD level in cancer genetics, molecular biology, biotechnology, or other relevant fields in biological sciences. Preferably 2+ year experience with an industry-collaborative academic environment, or equivalent
• Desired scientific experience:
  • cancer biology and cancer genomics
  • target/drug discovery and predictive biomarker identification, particularly in the field of oncology
  • proficiency in utilizing basic bioinformatics tools for data analysis
  • analysis of genomic data (NGS/WGS/RNAseq) and familiarity with large genomic datasets such as DepMap, TCGA, ICGC etc.
• Analytical and problem-solving skills with a focus on results-oriented outcome
• Good communication, collaboration, and team-working skills

What We Offer:

• The chance to be part of a pioneering team on the cutting edge of cancer research.
• A role that transcends traditional research, contributing to potential cures for cancer
• Competitive compensation, comprehensive benefits, and opportunities for professional growth.

Please send your application to:

For interview dates and times, we will contact you by email.