Statistician (Epidemiology, Remote)

Statistician (Epidemiology, Remote)

  • Location

    Oxford, Oxfordshire

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    £50000.00 - £55000.00 per annum

  • Contact:

    Henry Charman

  • Email:


  • Job ref:


  • Published:

    3 months ago

  • Expiry date:


  • Consultant:


Statistician (Epidemiology, Remote)

We are currently looking for a Statistician (Epidemiology, 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 an ambitious Statistician with a background in Epidemiology 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, Epidemiologists, and other Medical experts to answer difficult Healthcare problems with a focus on Epidemiology. You will be working with real-world evidence to provide statistical support and help to answer research questions in Epidemiology. You will also be surrounded by machine learning experts which will give you a fantastic opportunity to witness how AI can be used in Healthcare.

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 background in Epidemiology and experience working with Health Data.

What we can offer a Statistician (Epidemiology, 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