Senior Research Associate

Lancaster Medical School

Location: Bailrigg, Lancaster, UK

Salary: £39,355 to £45,413 (Full time, indefinite with end date)

Closing Date: Sunday 27 April 2025

Interview Date: Monday 19 May 2025

Reference: 0240-25

This is an exciting opportunity to work with a multi-country surveillance dataset (Djibouti, Ethiopia, Kenya, Nigeria and Tanzania) on an invasive mosquito that has been implicated for malaria outbreaks in urban areas. You will be responsible for the data analysis and co-design of next malaria surveillance and control plans. This exciting opportunity will allow you to work in a multi-institutional project within a team of world-leading malaria experts. If you are passionate about using your skills in statistical modelling to make a difference to complex problems such as malaria elimination, then we would love to hear from you.

You should show a high proficiency in working within the R statistical environment; demonstrable experience of analysing spatial and temporal data for research purposes; a good understanding of ecological and epidemiological concepts; experience of working in multi-disciplinary teams; and effective communication skills. A desire to be part of an international collaboration, and be willing to travel occasionally to Africa is essential for this position.

You will be based at Lancaster Medical School and will work with spatial epidemiologist Dr Luigi Sedda (Lancaster Medical School) and project partners.

Further Details:

• Job Description


• Person Specification

Please note: unless specified otherwise in the advert, all advertised roles are UK based.

Find out what it's like to work at Lancaster University, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace.

The University recognises and celebrates good employment practice undertaken to address all inequality in higher education whilst promoting the importance and wellbeing for all our colleagues.

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.

#s1-Gen

This is an exciting opportunity to work with a multi-country surveillance dataset (Djibouti, Ethiopia, Kenya, Nigeria and Tanzania) on an invasive mosquito that has been implicated for malaria outbreaks in urban areas. You will be responsible for the data analysis and co-design of next malaria surveillance and control plans. This exciting opportunity will allow you to work in a multi-institutional project within a team of world-leading malaria experts. If you are passionate about using your skills in statistical modelling to make a difference to complex problems such as malaria elimination, then we would love to hear from you.

You should show a high proficiency in working within the R statistical environment; demonstrable experience of analysing spatial and temporal data for research purposes; a good understanding of ecological and epidemiological concepts; experience of working in multi-disciplinary teams; and effective communication skills. A desire to be part of an international collaboration, and be willing to travel occasionally to Africa is essential for this position.

Find out what it's like to work at Lancaster University, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace.

The University recognises and celebrates good employment practice undertaken to address all inequality in higher education whilst promoting the importance and wellbeing for all our colleagues.

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.
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