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    Opportunity: Cancer Genomics Data Scientist @ A life sciences company -- London, UK
    Submitted by Eugene McDaid; posted on Wednesday, October 13, 2021



    Genomics Data Scientists investigate and develop solutions to extract more information from the genome (alignment and variant calling) and to interpret the genome in the context of a persons clinical features.

    They work as part of squads building and translating state of the art analytics into clinically-fit production quality solutions.

    Key Accountabilities Include:
    • Benchmarking and fine-tuning tools for quality control, processing and analysis of whole genome sequence data, e.g., alignment, variant callers for types of variants
    • Develop algorithms for variant prioritisation / classification to improve their diagnostic potential or actionability
    • Performing custom computational analysis for a range of projects in rare disease/germline or cancer/somatic samples and carefully document results using reproducible computing principles
    • Developing, prototyping, and validating new features for genome analysis in collaboration with internal and external stakeholders
    • Work with other squad members to ensure that solutions are implemented in a robust, scalable, fit for clinic, accredited, production ready for converting prototypes to production pipelines
    • Continuously scan the scientific literature to identify new approaches to genome analysis that can be implemented to improve our capabilities
    • Contribute to the publication and dissemination of our learnings in the form of scientific papers, white papers, conferences, etc.
    • Establishing general bioinformatics resources for day-to-day use by colleagues
    • Know and understand the meaning behind our virtues of Empathy, Integrity, Focus, Connection, Speed, Curiosity, Impact and embody them in all aspects of your role


    Key Skills Include:
    • Excellent knowledge in cancer genomics, approaches to call somatic variation and interpret cancer genomes
    • Strong knowledge of statistics and/or machine learning
    • Strong knowledge of high throughput sequencing algorithms and available resources. Experience with full cycle of analysing NGS data from sequencing QC to annotation and prioritization of variants.
    • Strong programming skills (Python, R)
    • Excellent technical writing skills
    • A decent publication record demonstrating their ability to conceive and carry to conclusion scientific investigations
    • Excellent ability to represent and visualise data to derive insights
    • A demonstrable ability to cope under pressure and deliver to deadlines
    • Experience in handling large data sets
    • Ability to communicate effectively within a multidisciplinary team
    • Flexible and co-operative approach to colleagues
    • Experience and flexibility to collaborate on code with others including good working knowledge of Git
    • Ability to work independently and to show initiative within a team
    • Ability to prioritise and balance competing demands


    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.


    Please do not hesitate to contact Harvey Uppal at huppal[at] or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Rare, Disease, Analyst, Cancer, WGS, WES, Genomics, Bioinformatics, Germline, Somatic, Mutations, Clinical, Python, Pipelines, Statistics, Testing, Writing, Variants, Alignment, Statistical, Genetics, NGS, London

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