Data Manager

Key Responsibilities:

• Develop and implement Data Management plans, systems and tools for collecting, entering,
• cleaning, storing, and archiving data for the assigned Projects.
• Conduct data analysis and interpretation using data generated by study sites according to the project specification
• Contribute to writing, dissemination and publishing of research work by providing statistical expertise in preparing statistical summaries, reports, briefs and support in dissemination at various internal or external meetings, workshops and other Scientific forums
• Coordinate the team and prepare various ad hoc or scheduled progress reports for the PI, other researchers, committees and presenting the same at various internal Meetings as scheduled.
• Participate in building and maintaining relationships, networks and collaborations with the other department study teams, IT, data clerks and data supervisors.
• Implement and enforce regular data security activities such as storage, backups, archiving, user administration, resolution of queries as well development of screening logs and case report forms.
• Liaising closely with programmers to create databases, and to test and implement the various case report forms as per the project requirements.
• Contribute to the full compliance with all relevant internal ethical and Research Governance protocols, policies and procedures as well as all external legal, ethical and regulatory requirements by proper documentation and adherence at all Research Phases.

Vacancy Requirements:

• Minimum Bachelor’s Degree in Statistics or any other relevant field from a recognized university    Mandatory
• Minimum Four (4) Years experience at a reputable organization    Mandatory
• Proficiency in statistical packages or coding languages e.g. R, STATA or Python    Mandatory
• Experience in the use of current technology in Health Research specifically practical knowledge of SQL-compliant DBMS (preferably MySQL), OpenClinica, openMRS, ODK and REDCap database systems    Mandatory
• Demonstrated high levels of integrity and confidentiality    Mandatory
• Excellent interpersonal, verbal and written communication skills    Mandatory
• Ability to work with diverse, multidisciplinary teams and build strong relationships with internal and external collaborators    Mandatory
• Excellent analytical skills and ability to deliver quality outputs within strict timelines.    Mandatory