Senior Research Associate / Research Fellow in Health Data Science

Closing 3 Aug 2021

Posted by Tom Gaunt on Saturday, July 10, 2021


The role:

We are seeking a talented postdoctoral scientist with expertise in biomedical data integration and analysis, data mining and causal inference. As the successful candidate you will join a vibrant interdisciplinary research environment in the MRC Integrative Epidemiology Unit, working within a programme that applies data mining approaches to epidemiological research questions ( The post holder will be appointed at either Senior Research Associate (grade J) or Research Fellow (grade K) depending on their level of experience. If successful, you will have the opportunity to develop your own research portfolio within the programme, contribute to teaching and postgraduate training and will be supported in your career progression. Closing date: 03 August 2021

Online applications

What will you be doing?

The role will be focused on systematic analysis of knowledge graphs such as EpiGraphDB ( to identify risk factors, mechanistic pathways and potential intervention targets for human disease. You will be encouraged to co-develop new project ideas that align with the research objectives of the MRC IEU, in particular those focused on data mining, knowledge extraction from the literature, evidence triangulation and knowledge graph analysis.

You should apply if:

  • You have a strong computational and analytical background, with experience in programming, data science and the application of these skills in health, biomedical or biological research.
  • Ideally you will be familiar with knowledge graphs and natural language processing.
  • You will also have experience of applied statistical analysis and/or machine learning and will have a good understanding of causal inference using graphical causal models.

Further information and how to apply

Please read the job description for further information on the role and criteria. We ask you to provide evidence for how you meet these criteria in your application. If you would like more information please don’t hesitate to get in touch: Prof Tom Gaunt (Email)

You should apply using the online application system linked here through the green button below. (Applications that are not submitted to the online system by end of 3rd August 2021 can’t be considered)

Online applications