Lead Data Scientist

8 months ago

London, United Kingdom SRG Full time

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.

The company is committed to ensuring the adherence to high standards of relevance, excellence, and clinical safety in genomic analysis, aligning with the business accreditation requirements. You will collaborate seamlessly with internal and external stakeholders to guarantee the successful delivery of projects and employ and critically evaluate statistical genetics analysis methods to derive insights from large-scale genomic data.

If you are looking for a technical and scientific leadership role in the realms of cancer genome analysis, then this is the ideal opportunity for you.

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