Research and Evidence Specialist

About the role

The Research and Evidence Specialist strengthens the evidence base for the PEP project by leading research activities across the PEP Partner Institutions. The specialist coordinates research and project activities across three public university partners, ensuring harmonized implementation, high-quality data collection and use of findings to improve training outcomes, while supporting capacity building in education research, implementation science and data-driven decision-making. The role reports to the Technical Lead - Health Professions Education.

Key responsibilities

• Take part in developing and implementing PEP project workplans focused on research, monitoring and evaluation
• Coordinate project implementation across the three partner universities and liaise with regulators, academic institutions and stakeholders
• Coordinate research protocols, contribute to grant writing, and build capacity of faculty, students and staff in research methods, data analysis and evidence use
• Support partner institutions in strengthening their research systems and provide guidance on evaluation frameworks and data use
• Promote digital tools for data collection, analysis and dissemination, and integrate research into eLearning, simulation and blended learning
• Support documentation and submission of proposals and grants, implement field research, develop the research budget and undertake other assignments from the director
• Engage stakeholders, build partnerships with universities and research institutions, and run knowledge-sharing forums

Required profile

• Master's degree in public health with a bias to biostatistics, epidemiology or statistics, or a bachelor's degree in health sciences, biostatistics, statistics, public health, mathematics or equivalent
• Experience in research work or in a similar organization; educational research experience is an added advantage
• At least two publications in peer-reviewed journals
• 2 years of experience in a busy research setting

Required skills

• Data analysis with at least two of R, Stata, EPI Info and MS Office (Word, PowerPoint, advanced Excel)
• Budgeting skills
• Excellent written and presentation skills in English and Kiswahili
• Ability to work independently, in a multicultural team and under pressure

Applications require a cover letter and CV; the closing date is 11 November 2026.