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Data Analyst (Epidemiology, R)

Data Analyst (Epidemiology, R)

  • Location

    England

  • Sector:

    Machine Learning & AI

  • Job type:

    Permanent

  • Salary:

    £50000 - £55000 per annum

  • Contact:

    Henry Charman

  • Email:

    hcharman@understandingrecruitment.co.uk

  • Job ref:

    BBBH25732_1605510470

  • Published:

    11 days ago

  • Expiry date:

    2020-11-23

  • Consultant:

    #

Data Analyst (Epidemiology, R)

We are currently looking for a Data Analyst for a Healthcare Technology Company that uses Machine Learning to improve healthcare worldwide. The company is based in Oxford but are very flexible with remote working and this can be a fully remote role if desired. They are looking for a driven Data Analyst with a great understanding of Epidemiology or Healthcare to help them on their quest to improve patient care. The company is taking huge strides to improve Healthcare and have teamed up with two industry giants to enhance their services. This is a fantastic opportunity to join a "tech for good" company and influence the lives of many patients.

As a Data Analyst, 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 epidemiological research questions.

As a Data Analyst of this Healthcare Technology Company, you will require knowledge of Epidemiology or Healthcare Informatics and experience programming with R.

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