Research Assistant – PEP Project

The African Population and Health Research Center (APHRC) is a premier research-to-policy institution, generating evidence, strengthening research and related capacity in the African research and development ecosystem, and engaging policy to inform action on health and development. APHRC seeks to drive change by developing strong African research leadership and promoting evidence-informed decision-making (EIDM) across sub-Saharan Africa.

The APHRC through its Research Capacity Strengthening (RCS) Division, is seeking to engage eighteen (18) Research Assistants (RAs) for the Partnership for Education of Health Professionals (PEP) Project. This project aims to strengthen the management of Cardiometabolic Diseases (CMDs) in Kenya through the generation of research evidence and capacity building.

Study Duration and Location
The study will be conducted in June and July 2025 across 11 counties: Narok, Turkana, Wajir, West Pokot, Tana River, Trans Nzoia, Marsabit, Bomet, Kwale, Nairobi, and Mombasa.

Key Responsibilities

• Administer surveys using KoBoCollect or related platforms.
• Conduct in-depth interviews and focus group discussions with health care workers.
• Transcribe audio recordings from interviews verbatim.
• Perform data entry, cleaning, and verification to ensure completeness and accuracy.
• Support other administrative tasks related to the project.

Minimum Qualifications

• A Bachelor’s Degree in Public Health, Community Health, Anthropology, Population Studies/Demography, Statistics, Epidemiology, Community Development, or a related discipline.
• Demonstrated experience in conducting surveys, in-depth interviews, focus group discussions, and key informant interviews.
• Experience working with healthcare professionals  is an added advantage.
• Must be a resident of at least one of the listed counties.
• Must be willing to travel to other counties and spend up to 20 consecutive days away from their home location.
• Proven skills in quantitative data collection and analysis; familiarity with STATA, SPSS, or R is required.
• Proven skills in qualitative data collection and analysis; familiarity with Nvivo or Atlas.ti is required.
• Ability to work independently, manage multiple tasks, and meet deadlines.
• Strong interpersonal and organizational skills and the ability to work effectively in a culturally diverse team.
• Proficiency in written and spoken English is required.