Lead Data Scientist

5 days ago


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

Job Title: Lead Genomic Data Scientist

Job Summary:

We are seeking a highly skilled and experienced Lead Genomic Data Scientist to join our Bioinformatics Consulting team at Genomics England. The successful candidate will lead a range of cancer genome analysis and interpretation projects in collaboration with and on behalf of our external researchers and industrial partners.

Key Responsibilities:

  1. Technical Leadership: Provide technical and scientific leadership in the realms of cancer genome analysis, ensuring the development and implementation of best practices for genome analysis at Genomics England.
  2. Project Management: Spearhead end-to-end complex genomic analysis projects, involving aspects such as design, stakeholder engagement, code development, problem-solving, reaching conclusions, and documentation.
  3. Tool Development and Enhancement: Conduct 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.
  4. Quality Assurance: Ensure adherence to high standards of relevance, excellence, and clinical safety in genomic analysis, aligning with Genomics England accreditation requirements.
  5. Collaboration: Collaborate seamlessly with internal and external stakeholders to guarantee the successful delivery of projects.
  6. Statistical Genetics Analysis: Employ and critically evaluate statistical genetics analysis methods to derive insights from large-scale genomic data.

Requirements:

  1. Expertise in Cancer Genomics: In-depth expertise in cancer genomics, understanding tumor drivers, and interpreting genomic data through targeted pathways.
  2. Programming Skills: Proficient in utilizing Python for efficient data processing and analysis.
  3. Code Development: Hands-on experience in developing high-quality and reusable code, with a strong command of Git and CI/CD practices.
  4. Statistical and Machine Learning Techniques: 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.
  5. Leadership Experience: Experience in leading a cross-functional analytical team in an academic or industry environment.

Qualifications:

PhD degree or equivalent practical experience in an industry setting.

Benefits:

  1. Competitive Salary: Salary from £71,000
  2. Pension Scheme: A generous pension scheme of up to 15% combined contribution
  3. Life Assurance: Life Assurance (3 x salary)
  4. Learning Budget: Individual learning budgets for every colleague, a Blinkist account and a wide variety of courses on our portal
  5. Wellness Benefits: A wide variety of wellness benefits including Gympass, a Headspace account, free weekly Yoga classes
  6. Maternity and Paternity Benefits: Enhanced maternity & paternity benefits
  7. Blended Working Arrangements: Blended working arrangements

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