Data Manager - Research Assistant
Mathematics and Statistics,Mathematics,Statistics,Computer Science,Computer Science,Information Systems
Short info about job
Company: University of Cambridge
Salary: £25,298 to £29,301 (Grade 5)
Hours: Full Time
Contract type: Fixed-Term/Contract
Type / Role: Academic or Research
Phone: +44-1472 9511932
Fax: +44-1367 6779357
E-mail: N\A
Site: N\A
Detail information about job Data Manager - Research Assistant. Terms and conditions vacancy
Working within an established data management team with existing systems, the post holder will collate, clean and harmonise 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 in close conjunction with the senior data manager in the CEU (Dr Mat Walker).
The initial responsibilities of this role will be to support the data management team in maintaining existing databases for epidemiological studies such as:
- 1) ERFC: a collaboration of over 130 cohorts totalling over 2 million participants.
- 2) EPIC-CVD: a project within the 500k participant EPIC cohort across 10 European countries, which has extensive genetic, biomarker and questionnaire data.
- 3) INTERVAL: a 50k participant population bio-resource of English blood donors aged 18-80 years.
- 4) BioBank: a cohort study of 500k participants with genetic, biomarker and questionnaire data.
- 5) COMPARE: a 30k trial of English blood donors
The post holder will also have the opportunity to work on new and ongoing initiatives such as:
- 1) BRAVE: a Bangladeshi case/control study which has now recruited >14k participants
- 2) BELIEVE: a prospective cohort study aiming to recruit 30k community-based individuals (age >5 years) from households in Bangladesh by Dec 2017 (currently >16k participants recruited)
- 3) MAVERIK: a Malaysian case/control study which has just stared recruitment
Key Responsibilities:
- 1) To develop and maintain databases for epidemiological studies
- 2) To help expand programs that convert data sent for inclusion into the central database into a standard format.
- 3) To develop and maintain systems to provide a full history of all data transfers, both internally to member of the CEU, and also to external collaborators
- 4) To help establish computer programs / algorithms to check these data rigorously for errors and inconsistencies.
- 5) To resolve data errors and inconsistencies by liaison with the contributing investigators and their statistical/database staff.
- 6) Working with database managers at CEU and collaborating groups / organisations (e.g. NHSBT) to ensure all project data are appropriately stored, updated and transferred to enable statistical analyses to be conducted.
Education and Qualifications: Relevant degree (1st / 2(i)) in mathematics or similar numerical based discipline, or equivalent experience.
Relevant Experience: Experience of data set manipulation. Experience of working with multi-database systems / relational databases.
Informal enquiries can be made to Liza Clarke ([email protected]) or telephone 01223 748622.
Location of post: Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN
The funds for these posts are available until 31st August 2020 in the first instance.
Closing Date: 14th September 2017 (Previous applicants need not apply).
Interview Date: week 25th September 2017
Please ensure that you outline how you match the criteria for the post and why you are applying for this role on the online application form.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.