Careers at Crystallise

If we have no current posts being advertised at present, but don’t let that put you off if you are particularly interested in what we do and how we do it, and think you have the skills to make us even better.

Email us your CV so we can keep it on file for our next round of recrutiment.

About Crystallise

Crystallise Ltd was established in 2012 as a data analytics company specialising in multidisciplinary mortality modelling for the finance industry and evidence collation and analysis for the pharmaceutical industry. We offer consultancy in mortality modelling and literature reviews as well as developing software to support these sectors, including, our online database of abstracts relevant to health economics and outcomes research teams in the pharmaceutical sector.

Clinical modeller  

 Crystallise Ltd is looking for a clinical modeller to support the development, parameterisation and review of medical models of morbidity and mortality for the healthcare, pharmaceuticals and insurance industries. The work will involve reviewing evidence in the biomedical literature, health technology assessments and reports from governmental and non-governmental sources to support the structuring, parameterising and review of models to predict morbidity incidence and mortality rates. In addition, there will be work participating in systematic literature reviews, rapid evidence assessments and the preparation of reports.  

The successful candidate must have at least one year of experience in clinical practice and have an interest in mathematics, statistics, epidemiology and computer programming.   

This post will be of particular interest to a junior doctor with a lively mind and broad interests who has completed their foundation clinical training and are seeking to start a career in desk-based medical research in an industry setting on a full-time or part-time basis that uses their medical knowledge. Experience in medical modelling is not essential, but  a willingness to learn the principles of it would be important. 

 Essential skills and experience include the following: 

  • At least 1-year spent in clinical medicine as a registered medical practitioner. 
  • Experienced with using Microsoft Office software. 
  • Excellent written English. 
  • An understanding of the essentials of evidence-based-medicine. 
  • An understanding of the basic principles of medical statistics including significance testing, normal distributions and regression. 
  • An understanding of the principles of computer programming with some experience in at least one language. 
  • Although remote working is encouraged, we need the successful candidate to be based in a country that is within 2 hours of UK time and with an excellent broadband connection. 

Desirable, but not essential, skills and experience include the following: 

  • A qualification in statistics, epidemiology or health informatics in addition to their medical degree. 
  • Competence in programming in R or python 
         (, ). 
  • Research experience or an intercalated B.Sc in a relevant topic. 

The post can be full or part-time but, if part-time, candidates must be flexible on hours to accommodate project deadlines.  

Salary: £39,500-45,000 per annum depending on experience.  

For more information, please contact Sue Martin (