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Research Associate

University of Leicester - Population Health Sciences

Location: Leicester
Salary: £37,386 to £43,155 per annum pro rata. Grade 7
Hours: Full Time, Part Time
Contract Type: Fixed-Term/Contract
Placed On: 6th February 2024
Closes: 5th March 2024
Job Ref: 7685

Vacancy terms: Full time or job share, fixed-term contract for 24 months

Hours per week: 37.5

Advert closes midnight on: 05 March 2024

About the role

The Department of Population Health Sciences is looking to appoint a Research Associate to develop statistical methods for disease mapping. In particular, this role will consist of further developing disaggregation regression models.

Disaggregation regression is a statistical method that is useful when you have aggregated disease case data (cases counted over a county for example) but wish to make higher resolution predictions of disease risk to guide interventions such as vaccine deployment or vector control. Current implementations of the model are tailored towards simple linear effects, and in order to make better predictions we wish to develop these methods further to use nonlinear effects. In order to do this, we will be incorporating ideas from MaxEnt species distribution models into disaggregation regression.

These models have many applications, but the focus in this project is on zoonotic and vector-borne diseases with a particular case study of lassa fever. The work will be conducted with guidance from Nigeria CDC in order to ensure that we are building a tool that is useful for the analysts both at Nigeria CDC and at other governmental ministries and NGOs in countries with high burdens of zoonotic or vector-borne diseases.

You will contribute to developing new methods, use simulation analyses to test their effectiveness and implement the methods in R packages. You will then write publish papers presenting results.

About you

We are looking for an individual who has experience using and assessing statistical methods as well as a strong familiarity with R. Alongside this, you will have a PhD (or equivalent) in epidemiology, statistics, computer science or a related field.

Additional information

Informal enquiries are welcome and should be made to Dr Tim Lucas at tim.lucas@le.ac.uk.

The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world. 

As a diverse and forward-thinking employer, we embed the principles of equality, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive through our values of Inspiring, Impactful and Inclusive.

We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.

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