Summary
Date Posted: Wednesday, February 14 2024, Base Salary: Not Disclosed

JOB DETAILS:
Job Summary
The data analyst will be responsible for organizing, managing, analyzing, interpreting, and presenting data related to Global Health Security (GHS), Research, and other programs within Baylor-Uganda. S/he should utilize technical expertise to ensure data is accurate and high-quality. S/he will provide advanced data analytics, statistical inference, and data visualization in a way that assists program and research staff in making better decisions for program development.

Overall Responsibilities
• Data security and governance - Work with management and researchers to identify process improvement opportunities, propose system modifications, and devise data security and governance strategies in line with international and national laws, policies, and guidelines.
• Data Management - Develop and maintain databases and data systems that ensure the capture, maintenance, and access to quality and clean data formats ready for statistical analysis.
• Data Extraction - Use automated tools to extract data from primary and secondary sources for clinicians and researchers to facilitate learning, program development, and adaptions.
• Data Analysis - Use statistical tools to identify, analyze, and interpret patterns and trends in simple and complex data sets that could be helpful for diagnosis, management, and outcomes prediction.
• Data analytics capacity building - Support in-house data analytics trainings and skills development for Baylor-Uganda and partners’ staff using appropriate statistical software, such as Stata, R software, and others.
• Scientific writing - Support development and writing of scientific presentations, abstracts, and manuscripts to be submitted to peer-reviewed journals for publication.

Required Qualification, Experience and Competencies:
• Master’s degree in Statistics, Biostatistics, Epidemiology, or Mathematics
• Hands-on experience with R, SQL, STATA, SPSS, EpiData, and PowerBI
• Experience in longitudinal or survival data analysis to support analysis of data from cohorts.
• Experience in handling missing data in clinical research databases
• 5 Years Relevant Experience


Work Hours: 8

Experience in Months: 60

Level of Education: Postgraduate Degree

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