Research Fellow in Medical Statistics

Date published

Vacancy ID: 4843

Location: Leicester

Department: Health Sciences

Vacancy terms: Full time, (or job share/part time considered to min 0.7FTE, 26.25 hours per week). Fixed term until 31st March 2024

Salary details: Grade 8 £44,706 to £50,296 per annum (pro rata if part-time)

Hours per week: 37.5

Advert closes midnight on: 11 Apr 2022

About the role

This role is funded by the National Institute for Health Research (NIHR) Applied Research Collaborations (ARCs).

The NIHR is the nation's largest funder of health and care research and provides the people, facilities and technology that enables research to thrive. NIHR ARCs support applied health and care research that responds to, and meets, the needs of local populations and local health and care systems. The NIHR ARC East Midlands (EM) is one of 15 ARCs across England, part of a £135 million investment by the NIHR to improve the health and care of patients and the public.

The clinical themes ARC EM focuses on include: (i) Building Community Resilience and Enabling Independence; (ii) Mental Health and Wellbeing; (iii) Managing Multimorbidity. There are also three-cutting themes: (i) Translating and Implementing Sustainable Service Improvement; (ii) Ethnicity and Health Inequalities; (iii) Data2Health. Additionally, ARC EM will also lead nationally on research into black and minority ethnic communities and multimorbidity thanks to its expertise in these areas.

The Data2Health theme will focus on methodological translation – ensuring that appropriate, innovative and fully evaluated methods are used to inform the design and analysis of ARC EM research studies. It will also ensure maximal use of existing large-scale linked data resources to address important questions for patients, the public and care services, both locally and nationally.

The post holder for this role will independently undertake methodological research to inform the design and analysis of studies undertaken by NIHR ARC East Midlands as part of the Data2Health (health Data Science) theme. The methods of interest include evidence synthesis, design and analysis of efficient pragmatic clinical trials and observational studies and modelling of the natural history of disease/prognosis using real world evidence. The post holder will also liaise with other applied health researchers from both within ARC EM and across the national network of ARCs to ensure the methodological research conducted is of relevance and the results are disseminated and implemented.

The post holder will be based in the Biostatistics Research Group (BRG) within the Department of Health Sciences. BRG specialises in the development, application and teaching of statistical methods in medical research with the ultimate aim of improving the health of the population. The group focuses on two complementary methodological areas: (1) Modelling disease history (includes epidemiology, survival analysis, prediction modelling); (2) Health technology assessment (includes novel trial design, health economics, evidence synthesis). A particular strength of the group is the transferral of novel statistical methodology into practice through the development of software, use of novel methods in applied studies through collaboration with both internal and external clinicians, development of guidelines for policy-makers and teaching on specialist courses.

About you

With a PhD (or equivalent) and/or relevant research experience in developing statistical methodology for applied health research, you will be able to demonstrate a growing research record of international standing. You will have excellent communication skills which you use to seek out opportunities for collaboration both internally and externally.

Additional information

Informal enquiries are welcome and should be made to Professor Laura Gray on

Applications for jobshare will be considered.

How to apply

Click here to apply.