Manager, Research and Learning

JOB VACANCY AT mDoc

Location: Nigeria

Work Arrangement: Hybrid or Remote

Department: Research and Learning

Job Type: Full-Time

JOB OVERVIEW

mDoc, a digital health organisation focused on improving healthcare delivery through technology and innovation, is inviting applications from qualified and experienced professionals for the position of Manager, Research and Learning in Nigeria.

The successful candidate will provide strategic, scientific, analytical and operational leadership for the organisation’s research, evidence generation, quality improvement and organisational learning activities.

The role involves leading research strategies, designing rigorous studies, coordinating multidisciplinary research teams and translating research findings into peer-reviewed publications and actionable insights that can improve healthcare delivery across Africa and beyond.

KEY RESPONSIBILITIES

• Lead the organisation’s research, evidence generation and publication strategy.
• Design and oversee high-quality research studies and evaluation activities.
• Coordinate multidisciplinary research teams and external research partners.
• Lead quantitative and qualitative research, study design and statistical analysis.
• Oversee research ethics processes, institutional review board (IRB) protocols and approvals.
• Translate research findings into peer-reviewed publications, reports and practical recommendations.
• Strengthen organisational learning and quality improvement initiatives.
• Provide scientific and technical guidance for digital health research and innovation.

REQUIREMENTS AND QUALIFICATIONS

Interested candidates should possess:

• A Master’s degree in Epidemiology, Public Health, Biostatistics, Health Services Research, Implementation Science, Health Informatics or a closely related discipline.
• At least 7 years of relevant experience in applied health research, implementation science, digital health research or related fields.
• Demonstrated experience leading multidisciplinary research initiatives and research partnerships.
• A strong track record of authorship and contributions to peer-reviewed scientific publications.
• Strong expertise in quantitative and qualitative research methods, study design and statistical analysis.
• Experience with research ethics, institutional review board protocols and approvals.
• Excellent scientific writing, communication, analytical and leadership skills.

ADDITIONAL ADVANTAGES

• A PhD or doctoral-level research training.
• Experience evaluating artificial intelligence and machine learning-enabled digital health products.
• Experience with conversational AI, digital health platforms or tele-coaching solutions.