Data Manager x2, NIHR BioResource for Translational Research

Do you have great data management and organisational skills?  Interested in a role which is contributing to changing lives for the better? Looking for your next challenge?

We are recruiting a Data Manager to join the NIHR BioResource Data Team, working on our rich and varied health-related data, responsible for ensuring the data is fit for analysis and available to health researchers worldwide.

About NIHR BioResource:

Our mission is to facilitate human health research and its transformation into medical practice.

NIHR BioResource is a unique and powerful resource for studying disease mechanisms and for investigating the links between genes, the environment, health and disease, enabling scientific discoveries as well as facilitating translational medicine for the benefit of patients.

Further details on the NIHR BioResource, including some of our COVID-19 research studies, can be found on our website https://bioresource.nihr.ac.uk.

About the job:

The Data Manager will work closely with NIHR BioResource colleagues, and research teams across the UK to ensure the smooth flow of accurate clinical, lifestyle and research data.

The goal is to have all data accurately captured in our bespoke databases and Clinical Data Management Software, so that it can be reported on and used for a wide range of research with confidence. As Data Manager you will also produce reports and visualisations of aggregate data for a variety of audiences.

The role will require you to clean and prepare study data, write queries and update scripts as necessary; to log and report inconsistencies and inaccuracies, to system test and work with others to resolve data quality issues.

The role holder will also be required to act as one of the data provenance experts for the BioResource Data Team.

About you:

Ideally you will have the following specialist knowledge and skills and relevant experience:

•  Proficient in the development and use of relational databases
•  A systematic and rigorous approach to work, ensuring accuracy in all areas
•  Excellent organisational skills
•  Ability to work to targets, judge priorities and work to tight deadlines
•  Experience of cleaning large data sets, coding rules to catch invalid data and converting data based on agreed coding schemes
•  Experience in the use of processes for managing and linking large datasets and of automating these processes
•  Experience in working with large health related datasets, including an understanding of the identifiers in use in NHS datasets
•  Knowledge of SQL and experience of writing queries to interrogate data

What we offer:

The University offers a wide range of benefits including flexible working, family friendly policies, an attractive pension scheme (employer's contribution is 14.5%) and 41 days' annual holiday (inclusive of public holidays). We encourage career development by providing extensive training & development opportunities.

This appointment is full-time, 37 hours per week; part-time to 80% will be considered. Work life balance is important, and we are open to discussion on flexible working, including hybrid working.

Our offices are on the Cambridge Biomedical Campus CB2 0QQ (approximately 2 miles south of the city centre). 

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

The closing date for applications is: 19th February 2025

Advert information