Research Assistant or Associate in Healthcare Systems Analysis and Modelling

The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity of national health care provision through data-informed resource allocation and strategic planning and investment.

The post is funded by the Wellcome Trust, and the post-holder will join a team based across Imperial College London, University College London, University of York and Kamuzu University of Health Sciences (Malawi) and the Eastern, Central and Southern Health Community (Tanzania) who are working to develop a model of health and healthcare provision (see www.tlomodel.org ).

The post holder will lead the model analyses that address the three questions outlined above, including, model development, coding, model calibration, numerical analysis, data visualisation, data curation and statistical analysis. The post holder will be responsible for these outcomes and may be asked to direct team members to assist them, where required.

They post-holder will write papers describing their findings of the very highest standard and seek publication for them in leading scientific and medical journals, adhering to best practises for open-access publishing and reproducible research. The postholder will also present this work to governmental decision-makers (preferably, in person, travelling to east/central Africa).

The post-holder will assume the responsibility of being one of the senior members of this large and multidisciplinary team, which includes 12 full-time staff, including professional software engineers, epidemiologists and statisticians. This will entail assisting others to work towards their own specific aims and mentoring and training of team members, where appropriate.

• For Research Associate level: Hold a PhD in mathematical modelling, statistics, infectious disease epidemiology or related subject or a similar quantitative discipline.
• For Research Assistant level: Hold a bachelor’s or master’s degree in mathematical modelling, statistics, infectious disease epidemiology or related subject or a similar quantitative discipline.
• Experience in the development of mathematical simulation models (especially those used in epidemiology and public health as inputs to policy development).
• Experience with reviewing, analysing and synthesising scientific papers and reports.
• Familiarity with the fields of mathematical modelling, and/or statistics, and/or demography, and/or health economics.
• Knowledge of healthcare systems in sub–Saharan Africa.
• Knowledge of relevant research methods and statistical procedures

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.

• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).

• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing .

This role is for a full-time and fixed-term contract until 31st March 2027 (part-time arrangements can be discussed at the interview).

If you require any further details about the role, please contact: Professor Timothy Hallett – timothy.hallett@imperial.ac.uk .

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