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Position: Research Fellow in Mixed Methods Health Research
Institution: University College London
Department: Institute of Health Informatics
Location: London, United Kingdom
Duties: Planning and designing mixed-method approaches; Working with key stakeholders to co-ordinate qualitative interviews with patients and healthcare professionals; Leading on a retrospective cohort study; Using and analysing quantitative data from multiple sources (e.g. COVERSCAN, long COVID clinics, TRE, CPRD); Writing and editing study results for publication in technical and peer-reviewed journals; Working well in an interdisciplinary team and be a self-starter, taking the initiative to develop and lead research projects using available data platforms, with the support of the wider team
Requirements: PhD in field of social science such as health services research, public health, sociology, psychology, anthropology or a similar level of experience; Knowledge, experience and advanced skills in designing, conducting, analysing and interpreting qualitative research; Understanding of information governance, privacy and security issues; Skills in qualitative data analysis software, e.g. nVivo, MaxQDA or similar
   
Text: Research Fellow in Mixed Methods Health Research, - Ref:1884182 Click here to go back to search results Apply Now UCL Department / Division Institute of Health Informatics Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,770 - £44,388 per annum Duties and Responsibilities The Institute of Health Informatics (IHI) was established in August 2014 as part of the Faculty of Population Health Sciences (FPHS) within the UCL School of Life and Medical Sciences (SLMS). At the UCL Institute of Health Informatics, we work to develop and evaluate data collecting systems and utilise the data produced. Central to our work are electronic health records (EHR), which offer unique opportunities for the advancement of medical research, quality of care, and outcomes. As a Research Fellow in Mixed Methods Research you will be expected to lead collaborative mixed methods research to provide real-world insights regarding effectiveness and cost of current long COVID care, identifying gaps and opportunities to improve investigation, treatment and rehabilitation. You will take advantage of the skills and experience across the project team and networks to work with stakeholders to define optimal long COVID care pathways. In this role you will be: · Planning and designing mixed-method approaches. · Working with key stakeholders to co-ordinate qualitative interviews with patients and healthcare professionals. · Leading on a retrospective cohort study. · Using and analysing quantitative data from multiple sources (e.g. COVERSCAN, long COVID clinics, TRE, CPRD). · Writing and editing study results for publication in technical and peer-reviewed journals. · Working well in an interdisciplinary team and be a self-starter, taking the initiative to develop and lead research projects using available data platforms, with the support of the wider team. The post is funded until 31 July 2023 and further funding may become available. Key Requirements About you: · Knowledge, experience and advanced skills in designing, conducting, analysing and interpreting qualitative research. · Understanding of information governance, privacy and security issues. · PhD in field of social science such as health services research, public health, sociology, psychology, anthropology or a similar level of experience. · Skills in qualitative data analysis software, e.g. nVivo, MaxQDA or similar. · Advanced skills in at least one statistical software package e.g. R, STATA. · Experience of mixed methods research. · Proven track record of publishing in peer reviewed journals. · Ability to manage own time and prioritise workload to meet project deadlines. · Willingness and ability to work collaboratively with colleagues. If you believe you meet the requirements why not come and be part of this unique and exciting opportunity and be part of something where you feel included, valued and proud. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. For an informal discussion please contact Professor Amitava Banerjee, ami.banerjee@ucl.ac.uk. For any queries regarding this advert or recruitment process please contact Anita Gorasia (a.gorasia@ucl.ac.uk). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 1 Jun 2022 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description and Person specification Apply Now
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