Consultant Data Professionals and Interns – African Population and Health Research Center (APHRC)

The African Population and Health Research Center (APHRC) is a leading Africa-based, African-led, international research institution headquartered in Nairobi, Kenya. APHRC conducts policy-relevant research on population, health, education, urbanization and related development issues in sub-Saharan Africa.

APHRC seeks to recruit Short-Term Consultant Data Professionals and Interns to support data driven projects at the Center. Successful candidates will be engaged on assignments for periods not exceeding six (6) months.

Key Responsibilities

• Participate in the development, review and translation of research tools;
• Participate in the pre-testing of data collection platforms / databases;
• Data cleaning including doing all required consistency checks for project data;
• Document project data sets according to the Center’s guidelines on data documentation, archiving and sharing;
• Extract data and prepare analytical files;
• Support harmonization and standardization of data sets including development of Extraction, Transformation and Loading (ETLs);
• Perform basic and advanced statistical analysis of data;
• Participate in scientific writing;
• Write technical reports on data issues; and
• Participate in development of standard operating procedures for data use at the Center.

Key Competencies

• Strong conceptual and analytical skills including the ability to analyze and interpret large data sets.
• Proactive and self-motivated.
• Strong verbal and written communications skills.

Qualifications, Skills, and Experience

• A bachelor’s, Master’s or PhD degree in statistics, biostatistics, data science, data systems development, machine learning, AI, health informatics, mathematical modeling or equivalent.
• Interns should be recently graduated or at advanced stages in their study programs (BSc, MSc) with minimal work experience.
• Consultants should have demonstrable and extensive experience in their preferred data areas of interest.
• High level quantitative skills (managing, analyzing and interpreting data).
• Knowledge of programming, analytical and visualization tools such as STATA, R, Tableau, Python, PowerBi, etc. is essential.
• Knowledge of geographical information system tools such as QGIS, ArcGIs, GeoCLIM, etc. is desirable.
• Working knowledge in data management platforms such as Open Data Kit (ODK), REDCap, SurveyCTO, Nesstar, KoboCollect, etc is desirable.