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
Current vacancies:
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Job reference: BMH-017722
Location: Oxford Road, Manchester
Closing date: 09/11/2021
Salary: £42,149 to £51,799 per annum (depending on experience)
Employment type: Fixed Term
Faculty/Organisation: Biology, Medicine & Health
School/ Directorate: Population Health, Health Services Research & Primary Care
Hours per week: Full time
Contract Duration: Until 30/9/2024
An exciting opportunity to join a group of internationally renowned researchers.
We are looking for candidates who can identify areas for research, develop new research methods and extend our existing research portfolio.
The University of Manchester wish to appoint a Research Fellow to join the Evaluation Theme within the NIHR Applied Research Collaboration for Greater Manchester (NIHR ARC-GM), based at the University of Manchester. This position will focus on refinement of research methodologies in two critical areas of applied health research: delivery of rapid evaluation and enhancing the relevance of research by ensuring research includes participant populations with the greatest need. The post is available until 30th September 2024 - we strongly advise informal discussions with Prof. Peter Bower.
Candidates will need a PhD in a relevant subject; substantial experience of methodology research related to health care (qualitative or quantitative); knowledge of methodology research relevant to applied health research and excellent and demonstrable scientific writing skills with an ability to convey research ideas and findings clearly. The candidate will also need to be able to take lead responsibility for research projects.
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof Peter Bower or Prof. Jo Dumville
Email: peter.bower@manchester.ac.uk or jo.dumville@manchester.ac.uk
More info & application details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=21134
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Job reference: BMH-017658
Location: Oxford Road, Manchester
Closing date: 12/11/2021
Salary: £33,309 to £40,927 per annum depending on relevant experience
Employment type: Fixed Term
Faculty/Organisation: Biology, Medicine & Health
School/ Directorate: Informatics, Imaging & Data Sceinces
Hours per week: Full time
Contract Duration: Until 30/9/2024
We wish to appoint a talented, enthusiastic and self-motivated Research Associate in Applied Medical Statistics join the Digital Health Research Theme within the NIHR Applied Research Collaboration for Greater Manchester (ARC-GM), based at the University of Manchester.
The overall purpose of the position is to assist in activities through quantitative analysis of health data. In all activities, strong synergy will be sought with the other NIHR ARC-GM themes.
You will need excellent skills and experience in analysing health data, statistical modelling and programming developed using real world health data. You will also have a track record of productivity evidenced through peer reviewed journal publications. Preference will be given to candidates with keen interest and/or experience in complex digital health interventions, artificial intelligence and machine learning.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Mathew Sperrin or Prof Niels Peek
Email: matthew.sperrin@manchetser.ac.uk or niels.peek@manchester.ac.uk
More info & application details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=21152
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Job reference: BMH-017658
Location: Oxford Road, Manchester
Closing date: 15/11/2021
Salary: £33,309 to £40,927 per annum depending on relevant experience
Employment type: Fixed Term
Faculty/Organisation: Biology, Medicine & Health
School/ Directorate: Informatics, Imaging & Data Sceinces
Hours per week: Full time
Contract Duration: Until 30/9/2024
We wish to appoint a talented, enthusiastic and self-motivated qualitative researcher to join the Digital Health Research Theme within the NIHR Applied Research Collaboration for Greater Manchester (ARC-GM), based at the University of Manchester.
You will need excellent skills in qualitative research methods developed in health or social care settings and a keen interest and/or experience in digital health technologies research..
This position offers the opportunity to contribute to the development, implementation and evaluation of innovative digital interventions in health and social care across Greater Manchester, with a focus on evaluating how the introduction of digital technologies impacts decision making and behaviour of patients and clinicians.
All evaluations will have both qualitative and quantitative components, with qualitative and quantitative researchers working closely together. The post holder will lead the qualitative aspects of the research. They will use observational and interview-based methods to understand how interventions are implemented in practice and the factors affecting their adoption, use, safety, and effectiveness, including their impact on decision-making processes and behaviour. Integral to the post is engagement with stakeholders in health and social care, including patients and members of the public, around trust and adoption of digital technology.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Sabine van der Veer or Prof Dawn Dowding
Email: sabine.vanderveer@manchester.ac.uk or dawn.dowding@manchester.ac.uk
More info & application details: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=21066
Strengthening the research skills, processes and resources needed to thrive in our fast-changing healthcare sector.
The role of digital technology in disease prevention, self-management in long term conditions, integrated and personalised care and healthy ageing.
Examining the impact of different initiatives on the economic sustainability of health and social care e.g., approaches to contracting and alternatives to formal care.
To provide infrastructure and expertise regionally and nationally to support high quality evalution. In particular, we aim to refine methodologies to enhance the impact of applied health research in GM.
Prevention of frailty; health promotion in younger old age; multi-morbidity, health inequalities, social isolation and mental health in the elderly.
To conduct world-leading research and methodological development in implementation science and knowledge mobilisation.
Children and young people’s mental health; the impact of long-term conditions and multi-morbidity on mental health.
Workforce issues (recruitment, retention, skill mix); integration of health and social care and interdisciplinary working.
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