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    Lead Data Scientist and Machine Learning Lead - London, United Kingdom - Genomics England Limited

    Genomics England Limited
    Genomics England Limited London, United Kingdom

    2 weeks ago

    Default job background
    Full time
    Description
    Genomics Englandpartners with the NHS to provide whole genome sequencing diagnostics.

    Our mission is to continue refining, scaling, and evolving our ability to enable others to deliver genomic healthcare and conduct genomic research.

    We areaccelerating our impactand working with patients, doctors, scientists, government and industry to improve genomic testing, and help researchers access the health data and technology they need to make new medical discoveries and create more effective, targeted medicines for everybody.

    We are looking to hire a Lead Genomic Data Scientistto 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.

    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.
    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.

    Experienceinleading a cross-functionalanalyticalteam in academic or industryenvironment.

    Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we're continually improving our benefits package.

    We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including:

    ~30 days' holiday (plus bank holidays), with additional days for long service awards
    ~ A generous pension scheme of up to 15% combined contribution
    ~ Life Assurance (3 x salary)
    ~ Individual learning budgets for every colleague, a Blinkist account and a wide variety of courses on our portal
    ~ A wide variety of wellness benefits including Gympass, a Headspace account, free weekly Yoga classes
    ~ LI-Hybrid

    Genomics England is actively committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion best practice both within our community and in any other area where we have influence.

    We are proud of our diverse community where everyone can come to work and feel welcomed and treated with respect regardless of any disability, ethnicity, gender, gender identity, religion, sexual orientation, or social background.

    Genomics England's policies of non-discrimination and equity and will be applied fairly to all people, regardless of age, disability, gender identity or reassignment, marital or civil partnership status, being pregnant or recently becoming a parent, race, religion or beliefs, sex or sexual orientation, length of service, whether full or part-time or employed under a permanent or a fixed-term contract or any other relevant factor.

    Such behaviour is contrary to our virtues , undermines our mission and core values and diminishes the dignity, respect and integrity of all parties.

    We expect most people to come into the office 2 times each month as a minimum.

    There is no expectation that staff will return to the office full time unless they want to, however, some of our roles require you to be on site full time e.g., lab teams, reception team.

    Our teams and squads have, and will continue to, reflect on what works best for them to work together successfully and have the freedom to design working patterns to suit, beyond the minimum.

    Our office locations are Canary Wharf, Cambridge and Leeds.

    As part of our recruitment process, all successful candidates are subject to a Standard Disclosure and Barring Service (DBS) check.

    We therefore require applicants to disclose any previous offences at point of application, as some unspent convictions may mean we are unable to proceed with your application due to the nature of our work in healthcare.

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