Data Manager at Kenya Medical Research - KEMRI

Vacancy No. CGHR/288/04/22

Job Summary:

The data analyst’s position requires the incumbent to perform various data management, processing and analysis functions for the influenza program in an accurate and timely fashion. The data analyst will also assist with management of the laboratory related data for other FHU related studies.

Essential qualifications

• Bachelors Degree in Statistics, Biostatistics, Mathematics, computer science or any related field from a recognized training institution
• Minimum of 1 years’ experience in a busy data processing, management and analysis field.
• Excellent knowledge and working experience of at least one statistical package for data manipulation and analysis (STATA, SPSS, SAS, R) and one database management software (SQL server, MS Access).
• Knowledge of Visual Basic® and other programming languages in the NET environment is an added advantage.
• Experience working with electronic data collection systems in clinical settings will be an added advantage.

Skills

• Ability to develop an in-depth understanding of study goals and its implementation.
•  Strong self-motivation and ability to work in a team, with good communication and interpersonal skills.
• Ability and willingness to learn additional skills and strategies and implement on the job.
• Very good interpersonal relations and able to work with little or no supervision.
• Ability to meet strict deadlines

Specific duties and responsibilities

The data analyst will be required to;

• Develop an in-depth understanding of the data management process and the data being managed.
• Participate in design of data collection tools and data capture applications.
• Design and manage databases and data entry/capture procedures.
• Be involved in data downloading and uploading from mobile devices such as Netbooks, Tablets and Smartphones.
• Participate in developing data analysis plans in consultation with the study investigators and statistician.
• Participate in data retrieval, analysis and interpretation.
• Collate, query and clean data coming in from the field sites including flagging out inconsistencies and/or errors arising from data obtained from the field as part of routine data checks
• Perform various data manipulations, analyses and generate reports and tables as requested.
• Deal with routine problems arising in the course of data handling.
• Perform additional duties as may be assigned by the supervisor.