Research Data Analyst at University of Leeds

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Research Data Analyst at University of Leeds

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[ad_1] Are you an ambitious researcher looking for your next challenge? Do you have a background in data analysis, epidemiology and/or

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Are you an ambitious researcher looking for your next challenge? Do you have a background in data analysis, epidemiology and/or statistics?  Do you want to further your career in one of the UK’s leading research intensive Universities?

An exciting opportunity has arisen within the Faculty of Medicine and Health for a highly motivated, enthusiastic individual to join a world-leading clinical research group. Based at Chapel Allerton Hospital this post is available immediately for a fixed term of one year, with the possibility of extension dependent on funding.

We are seeking to appoint a talented and able Research Data Analyst to work with the Musculoskeletal Diseases Research Group within the Institute of Rheumatic and Musculoskeletal Medicine. A large part of the post will involve analysis of a 5000 patient longitudinal cohort dataset, analysis of multiple smaller datasets and supporting preparation of peer-reviewed manuscripts.

To explore the post further or for any queries you may have, please contact: 

Dr Sarah Kingsbury

Email: S.R.Kingsbury@leeds.ac.uk

As an international research-intensive university, we welcome students and staff from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Within the Faculty/School of Medicine we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+; and disabled people. Candidates will always be selected based on merit and ability.  

Location: Leeds – Chapel Allerton Hospital

Faculty/Service: Faculty of Medicine & Health

Category: Professional & Managerial

Working Time: 1.0 Full time Equivalent or above 0.6 part time hours

Contract Type: Fixed Term (Available until 31 December 2024 due to external grant income)

Closing Date: Saturday 30 September 2023

Interview Date: To be confirmed

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