W1siziisijiwmtgvmtevmdivmtevmjevmzkvmtu2l3nodxr0zxjzdg9ja181mtk4otm4njkuanbnil0swyjwiiwidgh1bwiilciymdawedewmdbcdtawm2uixv0

Data Scientist (Medical, Remote)

Data Scientist (Medical, Remote)

  • Location

    Oxfordshire, England

  • Sector:

    Machine Learning & AI

  • Job type:

    Permanent

  • Salary:

    £45000.00 - £55000.00 per annum + Company Benefits

  • Contact:

    Henry Charman

  • Email:

    hcharman@understandingrecruitment.co.uk

  • Job ref:

    BBBH8625_1621782005

  • Published:

    about 1 month ago

  • Expiry date:

    2021-05-30

  • Consultant:

    #

Data Scientist (Medical, Remote)

We are currently looking for a Data Scientist to join a disruptive Healthcare Technology Company that uses Deep Learning to research and implement innovative AI methods in Healthcare. The company have teams focusing on Computer Vision, Natural Language Processing and Time Series Analysis. They are well established and can offer a fully remote position if desired.

As a Data Scientist, you will be working collaboratively with Machine Learning Researchers and Engineers to ensure the research can be used effectively by Clinicians and Scientists. Your role will include working with large datasets and statistical algorithms to analyse and visualise data. You will be working in a collaborative environment, with the freedom to innovate in drug discovery and medical research.

As a Data Scientist of this Healthcare Tech Company, you will need commercial experience and be proficient in Python. It will be beneficial if you have previously worked with Healthcare data but this is not a requirement.

What we can offer a Data Scientist (Medical, Remote)

  • A competitive salary.
  • Great benefits: including a company share option scheme
  • A challenging environment that rewards results
  • Complete flexibility with remote work

Key Words: Software Engineer, Python, R, Data Science, Data Scientist, Insights, Statistics, Big Data, SQL, Data Analyst, Regression, Healthcare, Health, Medical, Clinical, Modelling, Statistics, Machine Learning, Artificial Intelligence, AI, ML, Natural Language Processing, Computer Vision.