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Research Assistant/Associate (Fixed Term)


We are looking to appoint a Research Assistant/Associate (depending on qualifications and experience) until 31st Dec 2021 to work on a dementia project which is using anonymised linked NHS data to examine predictors and outcomes of Lewy body dementia. You will be based with the Old Age Psychiatry research group, a vibrant interdisciplinary group of basic and clinical scientists at the University of Cambridge undertaking clinical and biomarker studies seeking to understand the causes of and improve interventions for dementia. See http://www.psychiatry.cam.ac.uk/oap.

The appointee will be responsible for statistical analysis, writing up and publishing results from a large NHS dataset containing anonymised linked data, providing information about past medical history and future outcomes for a large cohort of people with Lewy body dementia. Findings will accelerate understanding about Lewy body dementia, leading to earlier recognition and diagnosis and improvements in the health and well-being of people with dementia. The role will include writing up work for policy reports as well as scientific publications, presenting work at conferences and interacting with the lead investigator and wider project team. The appointee will benefit from all the other steps in research (design, ethical approval, recruitment and data collection) already being complete, and the focus of this post is on analysis, writing results for publication and dissemination.

This role would suit someone who is adept at data analysis and writing up to achieve rapid publication opportunities and who enjoys learning about new data and being part of existing and well-established teams. This role is funded by the Alzheimer's Society. Further extension to the post may be possible if further funding is obtained. The appointee will work with the Principle Investigator (Professor John O'Brien) and co-investigators (Drs Annabel Price and Rudolf Cardinal and Professor Carol Brayne) and other members of the research group. Ability to interact and communicate effectively with researchers in different teams is essential. The appointee must have a BSc (for appointment as Research Assistant) or have or be about to obtain their PhD (for appointment as a Research Associate) in a related discipline (biology, epidemiology, social science, psychiatry, etc.) and previous experience of leading on analysis plans within a research role, ideally working with large datasets.

Suitable candidates should be adept in using statistical packages such as R, and/or SPSS, and having experience of Python, machine learning, and other approaches that can be applied to a variety of datasets will be an advantage. Candidates must have proven written communication skills to be able to interpret data to distil and summarise key findings for both technical and non-technical audiences. Informal enquiries may be directed to Professor John O'Brien, john.obrien@medschl.cam.ac.uk.

Fixed-term: The funds for this post are available until 31 December 2021 in the first instance.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a standard Disclosure and Barring Service check.

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Closing Date: 1st February 2021 Interview Date: Likely to be 12th February

Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager

Please quote reference RN25397 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

Further information

Apply online