Data Manager
The University of Edinburgh - CMVM / MGPHS / USHER Institute / ECTU
| Location: | Edinburgh |
|---|---|
| Salary: | £39,347 to £46,974 Grade UE07, per annum |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 12th July 2024 |
|---|---|
| Closes: | 8th August 2024 |
| Job Ref: | 10894 |
Full-time, 35 hours per week
Fixed Term, from 1st October 2024 for 24 months
Location:
Usher Building, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX
The Edinburgh Clinical Trials Unit (ECTU) at the Usher Institute within The University of Edinburgh is looking for an experienced Data Manager. ECTU has a proven track record on delivering research and answering important questions about treatment and service delivery within the NHS. We work closely with patient groups and clinicians who are outstanding in their field.
The Opportunity:
We are looking for an enthusiastic, resourceful and highly organised person who is able to work independently, managing your own workload and work as part of a multidisciplinary team. Applicants will have experience in a clinical research environment and will possess good problem-solving and interpersonal skills.
The post holder will take the lead on the development of ECTU data management plans and case report forms, advising on best practice. They will manage the ECTU trial data cleaning and data query resolution process and lead the development process for study data collection systems using off-the-shelf software packages. They play a pivotal role within the Data Management & Programming Team ensuring good practice and adherence to data management quality systems, Good Clinical Practice (GCP) and the Research Governance Framework.
If you have substantial experience in trial administration and/or clinical trial data management we would like to hear from you.
Informal enquiries may be directed to:
Joyce Thomson, Chief Operating Officer (joyce.thomson@ed.ac.uk) or
Pamela Sinclair, Business Team Lead (pamela.sinclair@ed.ac.uk)
Your skills and attributes for success:
- Relevant experience in a clinical research environment
- Proven experience working with new database systems
- Ability to work within strict guidelines and prioritise workloads
- Experience working with confidential data
- Strong IT literacy (MS Office) skills
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