Back to search results
Header Image

Research Associate (with Teaching Duties) in Statistical Modelling for Global Health

Imperial College London - Department of Mathematics

Location: South Kensington Campus

Job Summary

How many people in the world today are visually impaired? Which countries are on track to reach the VISION 2020: The Right to Sight target of eliminating avoidable blindness by the year 2020?

We are seeking an outstanding candidate to work as a Research Associate in Statistical Modeling for Global Health on the data science and statistical challenges of synthesizing a wealth of public health surveys to measure visual impairment in every country of the world over the last three decades.

Working closely with Dr Seth Flaxman (Department of Mathematics and Data Science Institute, Imperial College London) and Professor Rupert Bourne (Anglia Ruskin University, Cambridge), you will liaise with epidemiologists and ophthalmologists who are providing data sources. You will undertake the Bayesian statistical approaches to modelling, understanding, and deriving insights from this data.

A number of publications are envisioned in top public health journals. A large global outreach effort is planned through the IAPB Vision Atlas, to coincide with a global focus on Vision 2020 in the year 2020.

Duties and responsibilities

The successful candidate will undertake the following duties:

  • Use data science approaches to combine a variety of public health surveys into a single dataset for statistical modelling;
  • Use Bayesian hierarchical statistical modelling approaches to develop models for the prevalence and causes of visual impairment and blindness in every country in the world over the last 30 years;

Additionally, the post includes teaching cover on undergraduate and master level programmes. The post holder will also carry out personal tutoring and project supervision work within the Department of Mathematics.

Essential requirements

The essential requirements for this post are as follows:

  • PhD (or equivalent) in a quantitative subject such as statistics or computer science
  • To have, or to be working towards a recognised teaching qualification, or be able to demonstrate experience in a formal teaching environment
  • Evidence of promise and originality of research, and a publication record commensurate with career stage
  • Deep understanding of applied Bayesian statistics (e.g. experience with Stan)
  • Experience of dealing with real-world datasets and an understanding of the challenges associated with these datasets Background in biostatistics, public health, or global health
  • Excellent programming skills in python or R
  • Knowledge of data visualization techniques for exploratory data analysis
  • Expertise in data cleaning, wrangling, and transformation expertise

Further Information

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £33,380 - £35,061 per annum.

**Please note that should you be appointed after 1 April 2019, your salary will be within our revised salary scale for employees in the Research category. This salary scale will range from £37,486 to £46,499 per annum. Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the revised salary scale on, £34,397 to £37,486 per annum.

This is a fixed term role for two years, with the possibility of extension.

Further information about Imperial College London, the Department of Mathematics can be found at:

We offer a very supportive environment for you to develop your research career, with full access to training courses and staff support within the College, including the award winning Postdoc and Fellows Development Centre and the Learning and Development Centre.

For informal enquiries about the role please contact: Dr Seth Flaxma:

If you have any general queries about the recruitment process, please contact David Whittaker, Executive Assistant and Central Office Manager:

For technical issues when applying online please email

Location: London
Salary: £37,904 to £45,547 per annum*
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 22nd January 2019
Closes: 22nd February 2019
Job Ref: NAT00371
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Show all jobs for Imperial College London …
Advert information

Type / Role:

Subject Area(s):


Job tools

Browser Upgrade Recommended has been optimised for the latest browsers.

For the best user experience, we recommend viewing on one of the following:

Google Chrome Firefox Microsoft Edge