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Research Associate - Department of Applied Health Sciences - 106111 - Grade 6
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Client:
University of Birmingham
Location:
United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
61cf383ea636
Job Views:
11
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
Summary
- Work with the study investigators (Prof. Sam Watson (University of Birmingham), Dr Penelope Hancock (Imperial College London) and Prof. Fredros Okumu (University of Glasgow/Ifakara Health Institute) to develop and test new methods for trial design and analysis.
- Developing statistical models and code to run the proposed methods.
- Developing and running simulation-based analyses of the new methods.
- Contribute to generating academic publications and reports.
- Contribute to public and stakeholder engagement workshops
Main Duties
The responsibilities may include some but not all of the responsibilities outlined below.
- Contribute to the development, documentation, and testing of new statistical methods.
- Develop code to run and evaluate statistical models, with the support of project supervisors.
- Support writing of research outputs for academic and lay audiences, and contribute to the development and running of stakeholder engagement activities in African countries.
- Disseminate research findings for publication, including research seminars and conferences.
- Contribute to Departmental/School research-related activities and research-related administration.
- Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader.
- Deal with problems that may affect the achievement of research objectives and deadlines
- Promote equality and values diversity acting as a role model and fostering an inclusive working culture.
Person Specification
- BSc (Hons)/Masters level (Grade 6) applicants with a strong relevant skill set will also be considered.
- Strong mathematical and quantitative skills.Experience in the implementation of mathematical or statistical models and model fitting is desirable but not essential.
- Familiarity or experience ofusing Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential.
- Ability to communicate complex information clearly.
- Excellent ability to work as a team and independently including co-ordinating own work with others to avoid conflict or duplication of effort.
- Understanding of and ability to contribute to broader management/administration processes.
- Contribute to the planning and organising of the research programme and/or specific research project.