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Data Manager - FHU Project

Closing: Sep 29, 2023

5 days remaining

Published: Sep 5, 2023 (19 days ago)

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Job Summary

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Person specification
• Be a holder of a bachelor degree in Statistics, Biostatistics, Mathematics, Computer Science, or any related field from a recognized university.

• Have at least one (1) year experience in data processing, management, and analysis in a health/medical research setting.

• Have excellent working knowledge and experience with at least one statistical package for data manipulation and analysis (STATA, SPSS, SAS, R) and one database management software (SQL Server, MS Access).

• Be proficient in statistical and data management procedures, including data cleaning, manipulation, summaries, tables, listings, graphics, and inferential statistical output, as well as report generation


Responsibilities
Person specification
• Be a holder of a bachelor degree in Statistics, Biostatistics, Mathematics, Computer Science, or any related field from a recognized university.

• Have at least one (1) year experience in data processing, management, and analysis in a health/medical research setting.

• Have excellent working knowledge and experience with at least one statistical package for data manipulation and analysis (STATA, SPSS, SAS, R) and one database management software (SQL Server, MS Access).

• Be proficient in statistical and data management procedures, including data cleaning, manipulation, summaries, tables, listings, graphics, and inferential statistical output, as well as report generation


1. Contribute to the development of study analysis plans and data management plans.

2. Guide database development for study data management.

3. Oversee data entry, conduct routine data checks, resolve queries, and generate reports. 4. Liaise with trial and other data managers and programmers regarding data quality and missing data, verify data accuracy and validity.

5. Schedule and prepare progress reports and/or analyses for independent Data Monitoring Committees, Steering Committees, and publications.

6. Actively scrutinize the data for discrepancies, errors, and missing data to verify accuracy and validity.

7. Report and liaise with study investigators, data clerks, data managers, and programmers on data quality and error resolution as per the study protocol.

8. Discuss and interpret results with colleagues and collaborators in the trials/studies.

9. Ensure deadlines and project milestones related to data and analyses are met, coordinating with other staff members and external collaborators as necessary.

10. Support the production of summary tables and graphics for interim and final analyses.

11. Prepare and archive research data and documentation for curation.

12. Ensure that all study data processes comply with appropriate data protection regulations.


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