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Data Manager (Fixed Term)


We seek a talented individual with programming and highly developed organisational skills to join the Cardiovascular Epidemiology Unit in the Department of Public Health and Primary Care at the University of Cambridge. The CEU (Director: Professor John Danesh) is an internationally-renowned centre of excellence for the study of the causes and prevention of cardiovascular disease. The significant recent growth of the CEU and its portfolio of data-focussed research requires the expansion of the Data Management team (Head: Dr Mat Walker).

The main responsibility of this post will be the British Heart Foundation funded CAPRICE (CArdiac troponin in the PReventIon of Cardiovascular Events) project, seeking to establish if cardiac troponin is an independent predictor of cardiovascular outcomes and/or provides additional discrimination over traditional cardiovascular risk factors. The role will involve harmonizing data into a central database from several cohort studies that have collected information on troponin, basic demographics, lipids, etc., as well as major cardiovascular morbidity and cause-specific mortality. The successful applicant will check the integrity of the data, formulate and resolve any resulting queries, and update the central database accordingly.

Furthermore, for other studies, the post holder will work with existing systems, and will collate, clean and harmonize data from various sources and keep databases up to date. The post holder will be expected to distribute subsets of information from the master databases on the instructions of the PI, track different versions of data releases sent to users and provide regular updates of data to users, as instructed. The post-holder will work closely with the Data Management Team (led by Dr Matthew Walker), Head of Operations, Laboratory Manager, and will liaise with academics in the CEU as required.

Main Duties and Responsibilities include (see FI for more information):

  • Designing writing and running systems in SAS, including writing macros to process the day-to-day data received from global health studies.

  • Managing study data; designing and creating scripts for data capture, validation and reporting; writing structured queries and updating scripts as necessary.

  • Developing and maintaining a research study meta-data systems to provide a full history of all data transfers, both internally to members of the CEU and also to external collaborators.

  • Writing, reading and interpreting programs and algorithms for data capture of research studies, using various programming languages, in particular SAS. Check data rigorously for errors and inconsistencies.

  • Carrying out testing on systems to ensure they are working correctly. Corresponding with field workers on studies and other data mangers to resolve bugs and to be aware of the new developments.

Education: Relevant degree or post graduate qualification in a numerical-based subject, preferably mathematics or have equivalent experience.

Experience and Skills: Some experience of programming, preferably in a structured programming language such as SAS, Perl, Java, or Fortran. Alongwith excellent organisational and interpersonal skills.

This position is full-time and available immediately. Funding is available for 18 months from commencement in post, in the first instance.

If you have any questions about this vacancy or the application process, please contact Niko Ovenden, Deputy Operations Manager at nao26@medschl.cam.ac.uk

Location of post: Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN

Fixed-term: The funds for this post are available for 18 months in the first instance.

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

The closing date for applications is Sunday 29th September with interviews date to be confirmed.

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 RH20503 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