Senior Clinical Data Analyst; Home-based), Phase Poland, Lithuania or UK - FSP
Bloemfontein, 9300, South Africa
Listed on 2026-01-15
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IT/Tech
Data Security, Data Analyst, Data Warehousing
When our values align, there's no limit to what we can achieve.
Parexel is currently seeking a Senior Clinical Data Analyst to join us in either South Africa, Poland, Lithuania, or the UK, dedicated to a single sponsor.
This role will be responsible for performing Data Management activities that support the sponsor’s commercial and development projects worldwide. The successful candidate will participate as an active member of a multi-disciplinary team to plan and execute the Data Management tasks required for phase I studies with the sponsor's Healthy Volunteers unit. The Senior Clinical Data Analyst has a broad, fundamental knowledge of the data management process and can perform most required tasks with minimal guidance.
Working as a Senior Clinical Data Analyst at Parexel FSP offers tremendous long-term job security and prospects. We undertake vital clinical studies for sponsors including the leading global biotechs and Pharma top 50. And we have an incredible pipeline of work.
Expect exciting professional challenges in inspiring studies, but with time for your outside life.
This will be a fully remote home-based position. RAVE experience is strongly preferred.
Responsibilities
Lead a large clinical study or a series of related studies with minimum guidance.
Represents Data Management on the CTWG for assigned studies.
Provide mentoring and training to lower-level Data Management staff assigned to your studies.
Manage and monitor the progress of data management activities with CROs or other vendors on assigned studies; build effective relationships with CRO / vendor counterparts.
Review protocols for appropriate data capture including electronic Case Report Form (eCRF) design.
Be able to perform a thoroughly detailed review of eCRF data requirements.
Interact with CRAs, programmers, study managers and statisticians in designing eCRFs and creating the annotated eCRF and CRF completion guidelines.
Lead the development of data edit check specifications and data listings.
Coordinate the design and testing of Electronic Data Capture (EDC) systems according to company standards. Able to resolve EDC system issues with team members.
Develop or lead the development of the Data Management Plan for a clinical study.
Able to review and provide feedback to the clinical team on other study documents e.g. Clinical Monitoring plans, Statistical analysis plans and vendor specifications.
Provide training on the EDC system and/or eCRF Completion Guidelines at Investigator Meetings and to internal and external study team members as needed.
Perform reconciliation of header data from external data sources against the clinical database.
Perform Serious Adverse Event reconciliation activities according to SOPs and guidelines.
Lead database upgrades/migrations including performing User Acceptance Testing.
Maintain study workbooks and data management files.
Perform database lock and freeze activities per company SOPs.
Participate in regular team meetings and provide input when appropriate.
Provide input into the development of data management SOPs, Work Instructions, and process documents; take a leadership role in the development of assigned documents.
Contribute to a professional working environment including the application of the sponsor’s Code of Business Conduct and Ethics.
Assist with the training of new employees and/or contractors.
Here are a few requirements specific to this advertised role.
Bachelor’s Degree required, preferably in the scientific/healthcare field.
Proven leadership experience.
Good project management skills and a proven ability to multitask.
At least five years’ or preferably up to 8 years' experience, in Data Management for the pharmaceutical/biotechnology industry.
Understanding of the scope and focus of Phase I – IV clinical studies, and a proven ability to perform some of the core Data Management tasks and interact with vendors. A high level of Phase I experience is essential.
A comprehensive understanding of regulatory guidelines and industry standards (e.g., ICH/FDA guidance, CDISC standards, GCDMP, 21 CFR 11, MedDRA, WHO Drug Dictionaries, etc.) and their application to Data Management practice.
Attention to…
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