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.
