Key Responsibilities:


Manage tools for collecting, entering, editing, cleaning, organizing, and archiving data.
Carry out data review, validation including discrepancy checking, and cleaning.
Design RDBMS database for capturing and storing data.
Prepare performance indicator reports on data status as the study project progress.
Coordinates data for all study site projects.
Conduct preliminary analysis and generate study progress reports and other statistical outputs as required from time to time.
Participate in the development, review, and translation of research tools; Participate in the set-up and pre-testing of data collection platforms including open-source research applications.
Establish data cleaning plans and execute the same to realize high-quality data including doing all required consistency checks for project data. Automate a data cleaning pipeline that can organically identify anomalies for continuous improvement in data quality.
Document project datasets according to the Programme’s guidelines on data documentation, archiving, and sharing.
Extract data and prepare analytical files.
Develop template syntax files for research staff to use in creating various datasets.
Perform basic and advanced statistical analysis of data using tools such as STATA and R.
Development and update of data management Standard Operating Procedures for the organization.
Oversee the Installation, connection, testing, and setup of hardware and software technologies.
Provide recommendations and advice about future planning for accessing and purchasing technology resources.
Maintain current and accurate inventory of technology hardware, software, and resources.
Monitor the security of all technology.
Manage and supervise department staff.


Vacancy Requirements:


Bachelor’s Degree in Data Management, Statistics, Mathematics, Computer Sciences, Information Technology, or related qualification.    Mandatory
A minimum of 4 years of experience in Data Management for Clinical Research or trials involving laboratory data handling.    Mandatory
Understanding of relational database design, implementation, and verification.    Mandatory
Training and/or experience in data management    Mandatory
Excellent knowledge of database design.    Mandatory
Excellent skills in data manipulation and statistical analysis    Mandatory
Knowledge of software development methodologies    Mandatory
Very Good IT skills including hardware, software, and networks    Mandatory
Good communication skills    Mandatory
Supervisory skills    Mandatory
Demonstrate high levels of integrity and confidentiality     Mandatory
Excellent interpersonal, written, presentation and communication skills     Mandatory
Basic analytical, problem-solving and critical thinking skills.     Mandatory
Team working and ability to work in diverse teams     Mandatory
Flexibility, adaptability, multi-tasking, and attention to detail     Mandatory