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Medical Data Scientist (Epidemiology, Fully Remote)

Medical Data Scientist (Epidemiology, Fully Remote)

  • Location

    Oxford, Oxfordshire

  • Sector:

    Machine Learning & AI

  • Job type:

    Permanent

  • Salary:

    £50000 - £55000 per annum

  • Contact:

    Henry Charman

  • Email:

    hcharman@understandingrecruitment.co.uk

  • Job ref:

    BBBH25732_1604901790

  • Published:

    3 months ago

  • Expiry date:

    2020-11-16

  • Consultant:

    #

Medical Data Scientist (Epidemiology, Fully Remote)

We are currently looking for a Medical Data Scientist for a Healthcare Technology Company that uses Machine Learning to improve healthcare worldwide. The company is focused on using AI to analyse its large database to enhance patient care and they are looking for an intelligent and driven data scientist with a background in Epidemiology or Healthcare. The company is well-established and is partnering with industry leaders to improve patient care. This is a fantastic opportunity to join a "tech for good" company and influence the lives of many patients.

As a Medical Data Scientist, you will be collaborating with teams of Scientists, Data Analysts, and Machine Learning experts to analyse the medical data and support decision making in the company. You will be working with live, medical data to answer important research questions.

As a Medical Data Scientist of this Healthcare Technology Company, you will require knowledge of Epidemiology or Healthcare Informatics and experience working with data.

What we can offer a Medical Data Scientist

  • A competitive salary.
  • Great benefits: including a company share option scheme and Bupa Health Insurance
  • A challenging environment that rewards results
  • Full or flexible remote work


Key Skills: Data Scientist, Data Analyst, Data, Epidemiology, Healthcare, HealthTech, Technology, Data Pipelines, Data Visualisation, SQL. Python, R, EPL, Electronic Patient Records, Datasets, Data Cleaning, Wrangling, Medical, Medical Data, Healthcare Informatics, Patient Care, Artificial Intelligence, Machine Learning, ML. AI, Scientist, Researcher