Lead Genomics Data Scientist

We are looking to hire a Lead Genomic Data Scientist to join our Bioinformatics Consulting team at Genomics England and lead on a range of cancer genome analysis and interpretation projects in collaboration with and on behalf of our external researchers and industrial partners.

The role of the Lead involves a harmonious blend of technical leadership and people management, with a primary focus on enhancing customized cancer genome analysis within our research environment.

Drawing upon a robust understanding of biomedical challenges and a commitment to producing high-quality code, the Lead Genomic Data Scientist plays a direct and influential role in crafting solutions and products. These outcomes are specifically designed to cater to the distinct requirements of our researchers and industrial collaborators, thereby contributing significantly to the advancement of our objectives.

Everyday responsibilities include:

• Proving technical and scientific leadership role in the realms of cancer genome analysis.
• Actively contributing to the development, implementation, and continual enhancement of best practices for genome analysis at Genomics England.
• Spearheading end-to-end complex genomic analysis projects, involving aspects such as design, stakeholder engagement, code development, problem-solving, reaching conclusions, and documentation.
• Conducting benchmarking exercises and enhancements for tools used in processing, analysis, and interpretation of whole genome data, encompassing alignment, variant calling, annotation, variant prioritization, interpretation, and quality control.
• Ensuring the 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 the successful delivery of projects.
• Employing and critically evaluating statistical genetics analysis methods to derive insights from large-scale genomic data.
• Taking charge of managing and leading an inclusive, high-performing team, ensuring the presence of the right skills to fulfil our mission.

Skills and Experience for Success:

• In-depth expertise in cancer genomics, understanding tumor drivers, and interpreting genomic data through targeted pathways.
• Proficient in utilizing Python for efficient data processing and analysis.
• Hands-on experience in developing high-quality and reusable code, with a strong command of Git and CI/CD practices.
• The capacity to thoughtfully evaluate statistical and/or machine learning techniques, and proficiently apply them in practical scenarios while interpreting results, considering the assumptions and limitations inherent in the methods.
• Experience in leading a cross-functional analytical team in academic or industry environment.

Requirements

PhD degree or equivalent practical experience in an industry settings.