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Statistician (Medical, Remote)

Statistician (Medical, Remote)

  • Location

    Oxford, Oxfordshire

  • Sector:

    Machine Learning & AI

  • Job type:

    Permanent

  • Salary:

    £50000.00 - £60000.00 per annum + Company Benefits

  • Contact:

    Henry Charman

  • Email:

    hcharman@understandingrecruitment.co.uk

  • Job ref:

    BBBH8762_1615737606

  • Published:

    about 2 months ago

  • Expiry date:

    2021-03-21

  • Consultant:

    #

Statistician (Medical, Remote)

We are currently looking for a Statistician (Medical, Remote) to join a Healthcare Technology Company that is focused on using Artificial Intelligence to improve Healthcare. The company is based in the South of England, but this can be a fully remote position if desired. The "tech for good" company has paired with two industry giants and is looking for a Statistician with a background in Healthcare to help the company improve healthcare in the UK.

As a Statistician for this Healthcare company, you will have the opportunity to work collaboratively with Data Scientists, Machine Learning experts, and other medical experts to improve the lives of patients worldwide. You will be working with real-world evidence to create statistical models to answer research questions on diseases.

The Statistician will join the Company as it continues to grow expediently, helping the company to influence patients' lives in the UK for the better and make advances in medical research. As a Statistician for this Healthcare company, you will require proficiency in R, a PhD or relevant experience in Statistics and preferably professional experience working within the Healthcare industry.

What we can offer a Statistician (Medical, Remote)

  • Competitive Salary plus Benefits
  • Flexibility with remote work
  • Great opportunity for career progression in a growing company

Key Skills: Data Scientist, Data Analyst, Data Engineer, Machine Learning, Artificial Intelligence, Statistician, Statistics, Analysis, Medical, Healthcare, Technology, Mathematics, Data Management, Data Cleaning, SQL, R, Python, STATA, Epidemiology, Public Health, Research, Statistical Modelling, Epidemiology