Data Analyst at Kenya Medical Research - KEMRI

Vacancy No. FN-03-02-2024

Duties and Responsibilities

•  Support in planning data collection methods and developing experimental designs and analytical methods
•  Collaborate with study investigators on sample size calculations and study sampling
•  Design and implement data collection tools for specific projects
•  Create and manage research data collection tools and databases using REDCap and ODK, among other tools.
•  Train and manage data collection teams to ensure quality data collection.
•  Conduct weekly data cleaning and reporting, manage data integrity issues
•  Develop, maintain, and present Key Performance Indicator (KPI) dashboards to study personnel
•  Communicate with trial investigators about data quality and resolve issues per study protocol.
•  Assist in preparing trial documents, reports, and responses to regulatory inquiries
•  With support of trial investigators, assist in clinical trial monitoring, including safety reporting
•  Utilize statistical software and techniques for data gathering, analysis, and interpretation
•  Analyze data and present statistical results through graphs, charts, and tables
•  Discuss and interpret trial/study results with colleagues and collaborators
•  Ensure project deadlines and milestones related to data and analyses are met
•  Provide mentorship to junior investigators and support to the research team with other tasks as needed
•  Carry out additional duties as directed by the Research Manager/Coordinator and supervisors

Required Qualifications:

•  Bachelor’s Degree in Computer Science, Mathematics, Statistics, Biostatistics or related field
•  At least 2-years’ experience as a Data Analyst or a similar position
•  Experience with a range of data analysis tools
•  Excellent skills using REDCap and ODK
•  Advanced Excel skills, Pivot Tables and Macros preferred
•  Ability to work as part of a team and handle multiple projects

Desirable Qualifications:

•  Prior research experience, preferably in the health sciences
•  Great attention to detail and excellent analytical skills
•  Excellent organizational and communication skills, attention to detail
•  Familiarity with statistical packages (including Stata, R, SPSS or SAS)
•  Critical thinking skills, highly motivated
•  Demonstrated experience in writing as evidenced by publications or project reports