Genomics Data Science Team Lead Position

5 days ago

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

Welcome to Genomics England Limited, a pioneering organization at the forefront of genomic healthcare and research. We are driven by a mission to refine, scale, and evolve our capabilities to empower others in delivering cutting-edge genomic solutions.

About Our Mission

Our commitment is to accelerate impact through collaboration with patients, doctors, scientists, government, and industry. By improving genomic testing and providing access to health data and technology, we aim to facilitate groundbreaking medical discoveries and develop targeted medicines for everyone.

Job Description

We seek an exceptional Lead Genomic Data Scientist to join our Bioinformatics Consulting team at Genomics England. This role entails leading a range of cancer genome analysis and interpretation projects in partnership with external researchers and industrial collaborators.

  • This position demands technical leadership, people management, and a harmonious blend of both. The primary focus lies in enhancing customized cancer genome analysis within our research environment.
  • The successful candidate will leverage their robust understanding of biomedical challenges and a commitment to producing high-quality code to play a direct and influential role in crafting solutions and products.
Key Responsibilities

The Lead Genomic Data Scientist will be responsible for:

  • Providing technical and scientific leadership in cancer genome analysis.
  • Contributing to the development, implementation, and continuous enhancement of best practices for genome analysis at Genomics England.
  • Spearheading end-to-end complex genomic analysis projects involving design, stakeholder engagement, code development, problem-solving, conclusion drawing, and documentation.
  • Benchmarking exercises and enhancements for tools used in processing, analyzing, and interpreting whole genome data, covering alignment, variant calling, annotation, variant prioritization, interpretation, and quality control.
  • Ensuring adherence to high standards of relevance, excellence, and clinical safety in genomic analysis, aligning with Genomics England accreditation requirements.
  • Collaborating seamlessly with internal and external stakeholders to guarantee project delivery.
  • Employing and critically evaluating statistical genetics analysis methods to derive insights from large-scale genomic data.
Requirements for Success

To excel in this role, you should possess:

  • In-depth expertise in cancer genomics, understanding tumor drivers, and interpreting genomic data through targeted pathways.
  • Proficiency in utilizing Python for efficient data processing and analysis.

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