Role: Data Management Coordinator
Contract Length: 6 Months
Location: Hybrid – London 1-2 days per week
IR35: In scope of IR35
Ideally, will have a Degree in Life Sciences - so Biology, Chemistry, etc. Grad level is fine
If any professional qualifications are required for the role, please list certificates here:
Degree in Life Sciences
Minimum Requirement:
Looking for a graduate with a life sciences degree (Biology, Chemistry, etc)
Working with the medicines database.
Data and substance validation
Data entry
This is not data analysis, but is data validation – making sure the data is correct for the substance.
Designing, constructing and testing data transformation routines to translate source data into valid loadable data files for the target system. Identifying, managing and supporting the resolution of gaps and data quality issues and represent the Team at project meetings. Determine the scope and detail of the data required to be migrated to the target system.
Role Purpose
To maintain the existing dictionary and forthcoming database of substance data used in medicinal products, and assist with maintenance of organisation names, addresses and associated data; and other data dictionaries as required.
This role is critical in ensuring that the data in our new substance database is of good quality, fit for purpose, and meets international standards.
Substances used in medicinal products include chemical, biological, biochemical and herbal substances.
Key responsibilities and results areas
* To add, maintain and update the substance dictionary and new substance database in a timely manner within deadlines.
* Respond to requests for addition and amendment of organisation name, address and contact data, and other reference data, within deadlines.
* Investigate appropriate information sources to ensure the accuracy, avoiding duplication, of data added to MHRA system dictionaries.
* Advise on the correct use of terms within the MHRA system dictionaries.
* Support the Digital Enablement function with administrative tasks.
* Support applying data quality improvements across a range of datasets.