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Lead Genomics Data Scientist

SRG
Posted 21 days ago, valid for 11 days
Location

London, Greater London EC1R 0WX

Salary

£60,000 - £90,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Position: Lead Data Scientist
  • Salary: Not specified
  • Experience Required: PhD degree or equivalent practical experience in an industry setting
  • Skills Needed: In-depth expertise in cancer genomics, proficiency in Python, hands-on experience in developing high-quality and reusable code, strong command of Git and CI/CD practices
  • Responsibilities: Lead cancer genome analysis projects, enhance customised cancer genome analysis, collaborate with internal and external stakeholders, develop and implement best practices for genome analysis, conduct benchmarking exercises for tools used in processing, analysis, and interpretation of whole genome data

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. Apply now and take charge of managing and leading an inclusive, high-performing team, ensuring the presence of the right skills to fulfil the company mission.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.