Data Scientist (Epidemiology, Python, Clinical Data)

Data Scientist (Epidemiology, Python, Clinical Data)

  • Location

    Oxfordshire, England

  • Sector:

    Machine Learning & AI

  • Job type:


  • Salary:

    £50000 - £55000 per annum + Company Benefits

  • Contact:

    Nicholas Bell

  • Email:


  • Job ref:


  • Published:

    3 months ago

  • Expiry date:


  • Consultant:


Data Scientist (Epidemiology, Python, Clinical Data)

We are currently searching for an Data Scientist (Epidemiology, Python, Clinical Data) for an innovative medical company based in Oxford. This company offers fully remote working from anywhere within the UK. You will be joining an agile and collaborative team of clinically led Data Scientist Specialists focused on furthering medical research to enhance patient care.

As a Data Scientist you will join a team of passionate scientists reinventing the development of medicines through research. You will join a dynamic and challenging working environment that rewards results and encourages development. This Data Scientist position requires proficiency using Python or R and a background in Healthcare and/or Epidemiology is ideal.

What we can offer an Data Scientist (Epidemiology, Python, Clinical Data):

  • Company shares scheme
  • Opportunity to work with industry leading medical establishments
  • Autonomy to explore data and generate solutions to medical problems
  • A supportive, challenging work environment focused on learning and development
  • Fully remote working from anywhere within the UK

Key Skills: Data Scientist (Epidemiology, Python, Clinical Data); Data Scientist, Data Analyst, Python, R, Backend, Bayesian, Hypothesis Testing, Isometric Testing, Data Analysis, Statistics, Biostatistics, SQL, NoSQL, Shiny, Graph database, Knowledge Graph, Tidyverse, Machine Learning, AI, Artificial Intelligence, Computer Science, Publications, Deep Learning, Algorithm, Algorithms, Survival Analysis, Enrichment Analysis, Tensorflow, Pytorch, PHD, Msc, masters, Bsc, bachelors, Epidemiology, Health, Healthcare, Medical