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    Scientist/Senior Scientist in Statistical Genetics - Cambridge, United Kingdom - Flagship Pioneering

    Flagship Pioneering
    Flagship Pioneering Cambridge, United Kingdom

    3 weeks ago

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    Description

    What if... you could join an organization that creates, resources, and builds life sciences companies that invent breakthrough technologies to transform human health and sustainability?

    Company Summary:
    Quotient Therapeutics, Inc. is a privately held, early-stage company developing a novel genomics platform and therapeutics for diseases with a large unmet need.

    Quotient Therapeutics, Inc. was founded by Flagship Pioneering, an innovative enterprise that conceives, creates, resources, and grows first-in-category life sciences companies. Flagship Pioneering has created over 100 groundbreaking companies over the past twenty years, all of which are pioneering novel and proprietary biological, industrial, and engineering approaches to solve major needs in human health and sustainability. These companies include Moderna (MRNA) Generate Biomedicines, Sana Biotechnology (SANA), Tessera Therapeutics, Evelo Biosciences (EVLO), Indigo Agriculture, Seres Therapeutics (MCRB), and Syros Pharmaceuticals (SYRS). To date, Flagship has deployed over $2.5 billion in capital toward the founding and growth of its pioneering companies alongside more than $19 billion of follow-on investments from other institutions. In 2021, Flagship Pioneering was ranked 12th globally on Fortune's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies.

    Position Summary:

  • Contribute to statistical genetics efforts to leverage population genetics in the setting of a novel genomics platform to gain and integrate insights into complex disease biology across multiple different therapeutic areas to successfully drive programs in support of the discovery platform.

    • Responsibilities:

  • Analyse large-scale genomic data including UKBB, Genomics England, and usage of the GWAS catalog and OpenTargets to derive population genetics insights into diseases and traits of interest
  • Apply statistical methodology and develop novel analytical approaches to analyse high-dimensional genomic data (GWAS, WES, WGS, transcriptomics, proteomics, etc.) across multiple disease areas
  • Work with computational colleagues to integrate germline genetics datasets with somatic genetics datasets and other modalities including bulk RNAseq, scRNA seq, and other more novel modalities
  • Use Mendelian randomization to elucidate causal mechanisms, pathway information and other functional data to prioritize effector genes and causal mechanisms and information across multiple traits or variants to generate insights
  • Participate in the design and implementation of cutting-edge genetic studies and analysis strategies, and identify potential problems and propose remedies or refinements
  • Stay up-to-date with the latest advancements in statistical genetics and contribute to the development of new research strategies and methodologies

    • Qualifications:

  • PhD in Quantitative genomics, Statistics, Computational Biology, or related fields
  • Strong background in genomics and experience in next-generation sequencing (NGS) data analysis
  • Strong analytical and problem-solving skills, with the ability to develop and implement novel computational approaches
  • Proficiency in statistical programming languages such a R or Python
  • Ability to work on multiple projects simultaneously and prioritise tasks
  • Ability to work both independently and collaboratively in a team-oriented, fast-paced environment
  • Excellent oral and written communication skills, both written and verbal, with the ability to convey complex scientific concepts clearly and concisely

    • Preferred Attributes:

  • Previous experience working in the pharmaceutical industry is desirable for this role
  • Experience with database query work, particularly in the context of genomic datasets
    • Location: Cambridge, England

    Flagship Pioneering and our ecosystem companies are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

    Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

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