We are excited to announce that we are currently seeking a talented Lead Data Scientist. This is a unique opportunity to lead a range of cancer genome analysis and interpretation projects in collaboration with both external researchers and industrial partners.
As the Lead Data Scientist, you will play a crucial role in enhancing customised cancer genome analysis within our research environment. You will actively contribute to the development and implementation of best practices for genome analysis, spearhead end-to-end complex genomic analysis projects, and conduct benchmarking exercises for tools used in processing, analysis, and interpretation of whole genome data.
We are looking for someone who has in-depth expertise in cancer genomics, with a solid understanding of tumor drivers and interpreting genomic data through targeted pathways. You should be proficient in utilising Python for efficient data processing and analysis and hands-on experience in developing high-quality and reusable code, with a strong command of Git and CI/CD practices.
To excel in this role, you should have a PhD degree or equivalent practical experience in an industry setting and experience in leading a cross-functional analytical team in an academic or industry environment. You should also have a good understanding of biomedical challenges and a commitment to producing high-quality code.
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