Genomics Data Science Leadership Position

5 days ago


London, Greater London, United Kingdom Genomics England Limited Full time

We are Genomics England Limited, a pioneering organization driving genomic healthcare and research advancements. Our mission is to continually refine, scale, and evolve our capabilities to empower others in delivering cutting-edge genomic services.

In collaboration with patients, doctors, scientists, government entities, and industry partners, we accelerate our impact by improving genomic testing and providing researchers with the necessary health data and technology to make groundbreaking medical discoveries and develop more effective, targeted treatments.

Our Vision

We seek an accomplished Lead Genomic Data Scientist to join our esteemed Bioinformatics Consulting team at Genomics England. This exceptional individual will spearhead various cancer genome analysis and interpretation projects in conjunction with external researchers and industrial partners, leveraging their expertise to craft innovative solutions tailored to the unique needs of our collaborators.

The role demands a harmonious blend of technical leadership and people management, focusing primarily on enhancing customized cancer genome analysis within our research environment. Drawing upon a deep understanding of biomedical challenges and a commitment to producing high-quality code, the successful candidate will play a pivotal role in shaping outcomes that significantly contribute to the advancement of our objectives.

  1. Prove technical and scientific leadership in cancer genome analysis.
  2. Contribute to the development, implementation, and enhancement of best practices for genome analysis at Genomics England.
  3. Spearhead end-to-end complex genomic analysis projects, encompassing design, stakeholder engagement, code development, problem-solving, conclusions, and documentation.
  4. Conduct benchmarking exercises and enhancements for tools used in processing, analysis, and interpretation of whole genome data, including alignment, variant calling, annotation, variant prioritization, interpretation, and quality control.
  5. E nsure adherence to high standards of relevance, excellence, and clinical safety in genomic analysis, aligning with Genomics England accreditation requirements.
  6. Collaborate seamlessly with internal and external stakeholders to guarantee successful project delivery.
  7. Employ and critically evaluate statistical genetics analysis methods to derive insights from large-scale genomic data.
Key Qualifications

We require an exceptional individual with:

  • A strong background in cancer genomics, tumor drivers, and interpreting genomic data through targeted pathways.
  • Proficiency in utilizing Python for efficient data processing and analysis.


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