The Data Manager – PROTECT Study will primarily be responsible for ensuring clinical trial data of the research organization is collected, managed, secured, and reported clearly and accurately. The ideal candidate should have extensive knowledge of the clinical data management principles, regulatory guidelines, and data management industry best practices. They should be willing to work independently and collaboratively with cross-functional teams to ensure timely and accurate data delivery.

Overseeing the collection, validation, and processing of clinical trial data.
Developing and implementing data management procedures for clinical trials.
Supporting and facilitating the review of medical coding for validity and completeness.
Ensuring compliance with applicable local and international regulations, study protocols, and standard operating procedures in the institution.
Maintain the highest data quality standards throughout the data lifecycle, from data collection to database lock.
Stay updated on industry best practices, technological advancements and regulatory requirements related to clinical data management.
Develop and maintain data management documentation, including study guidelines, Standard Operating Procedures (SOPs) and Data Management Plans (DMPs).
Design case report forms (CRFs) and electronic data capture (EDC) systems for data collection.
Perform data entry and cleaning activities, including discrepancy management and query resolution.
Conduct data validation checks and implement quality control measures to ensure accuracy and completeness.
Collaborate with study team members to resolve data-related issues and discrepancies.
Generate and review data listings, summaries, and reports for clinical study reports.
Serve as a primary or backup resource for data management functions as guided by your supervisor.
Ensure compliance with guidelines, Good Clinical Practice (GCP), CDISC standards and other relevant regulations.
Contribute to the development and validation of data management software tools.
Actively participate in the MUJHU Data, Statistics, and M&E Centre activities.