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 Machine Learning in oncology
• Lead and manage KRAS-related research projects from conceptualisation to experimental execution and data analysis
• Design and oversee experiments to investigate KRAS signaling pathways, mutations, and their role in cancer progression
• Collaborate with cross-functional teams, to translate findings into potential therapeutic applications
• Write and review abstracts/manuscripts, etc. for presentation/publication
• Stay abreast of the latest research advancements in the field of KRAS and oncology
  

Our requirements:

• Ph.D. in Molecular Biology/Biochemistry/Oncology
• Desired scientific experience:
  • cancer biology and cancer genomics, specifically in KRAS downstream/upstream signalling
  • 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.
• Strong analytical and problem-solving skills, with proficiency in experimental design and data interpretation
• 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.
• Location: Flexible (Remote/On-site options available)

Please send your application to:

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