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"Research Fellow: Reablement Inequalities Using Routine Social Care Data"

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Research Fellow: Reablement Inequalities Using Routine Social Care Data

Research Fellow: Reablement Inequalities Using Routine Social Care Data

The University of Manchester - Biology, Medicine Health - Division of Nursing, Midwifery & Social Work - School of Health Sciences

Location:Manchester
Salary:£47,389 to £58,225 per annum depending on experience
Hours:Full Time
Contract Type:Fixed-Term/Contract

Job reference: BMH-030194

Salary: £47,389 - £58,225 per annum depending on experience

Faculty/Organisational Unit: Biology, Medicine Health

Location: Oxford Road

Employment type: Fixed Term

Division/Team: Division of Nursing, Midwifery & Social Work

Hours Per Week: Full time (1 FTE)

Closing date (DD/MM/YYYY): 02/12/2025

Contract Duration: Fixed term for 15 months

School/Directorate: School of Health Sciences

This is an exciting opportunity for an outstanding candidate, knowledgeable and experienced in social care research, to lead research working with routinely collected Adult Social Care data in local authorities. The post-holder will work on a project funded by the National Institute for Health and Care Research (NIHR), investigating inequalities in reablement services in Manchester, in partnership with the data and intelligence team at Manchester City Council. They will also provide specialist social care advice to other researchers as part of the NIHR Research Support Service within the University of Manchester.

The post holder will be responsible for leading on the analysis of routinely collected social care data, using sophisticated multivariable modelling techniques to determine whether reablement services are equally available across Manchester, barriers to reablement access, and factors influencing independent living post-reablement. To do this, they will be expected to liaise extensively with data analysts and service leads at Manchester City Council, other academic researchers, and public contributors and lay advisors.

The post-holder is expected to prepare statistical analysis plans, negotiate access to the local authority data, and analyse the data, collaborating with other researchers. They will present the progress and findings from the work in meetings and conferences and lead on preparing funding applications and high-quality scientific publications. They will use their social care expertise to advise other researchers who are preparing research bids to funders.

What you will get in return:

  • Fantastic market leading Pension scheme
  • Excellent employee health and wellbeing services including an Employee Assistance Programme
  • Exceptional starting annual leave entitlement, plus bank holidays
  • Additional paid closure over the Christmas period
  • Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here.

Hybrid working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.

Any CVs submitted by a recruitment agency will be considered a gift.

Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.

Enquiries about the vacancy, shortlisting and interviews:

Name: Paul Clarkson

Email: paul.clarkson@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support: jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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