Research Interns; Statistics

Role Overview

You will work as a project researcher supporting an implementation science agenda aimed at improving community-based health services for neglected tropical diseases. Your daily work involves bridging the gap between study design and real-world fieldwork: managing data pipelines, coordinating with local health authorities, and turning complex evidence into clear recommendations. The insights you generate will directly influence how health programmes are delivered and scaled, making your contribution essential to the project's impact.

Key Responsibilities

• Identify, retrieve, and critically appraise published and grey literature to inform study frameworks and intervention designs.
• Draft detailed study protocols, standardised data collection instruments, and training guides for field teams.
• Organise and run community-level field activities, including participant recruitment, consent processes, and data capture sessions.
• Facilitate stakeholder engagement workshops with health officials, community leaders, and implementing partners.
• Collect quantitative survey data using mobile platforms and ensure completeness, consistency, and security of all records.
• Clean, manage, and analyse datasets using statistical software, producing summary statistics and regression-based outputs as required.
• Translate findings into technical reports, journal manuscripts, policy-facing briefs, and slide presentations for diverse audiences.
• Track project milestones, document operational challenges and lessons learned, and provide logistical support to senior investigators.

Requirements & Qualifications

• A bachelor's degree in statistics, biostatistics, mathematics, data science, epidemiology, or a related quantitative discipline is required.
• A demonstrated commitment to implementation research, particularly in neglected tropical diseases, community-based health delivery, or health systems strengthening.
• Prior hands-on involvement in public health or community-based research projects, including fieldwork or survey administration.
• Working proficiency with electronic data capture tools such as REDCap, KoboCollect, ODK, or equivalent platforms.
• Applied knowledge of at least one statistical language or package: STATA, R, SPSS, SAS, or Python.
• Practical experience collaborating with government health programmes, community health worker networks, or formal research institutions.