Qualitative Research Consultant, Liberia

Last Mile Health

1d•Remote

About The Position

At Last Mile Health, we dig data. Do you have experience analyzing qualitative data, identifying key themes, and translating insights into clear, actionable recommendations? If so, you may be our next Qualitative Research Consultant in Liberia. This remote consultancy aims to generate deep, actionable insights from qualitative data collected by the MERL team in Liberia on the rollout of the malaria vaccine and the engagement of community health workers. Building on an earlier formative study, the work will focus on analyzing both previously coded and newly collected data to better understand changes in knowledge, perceptions, and behaviors related to the vaccine over time. The goal is to translate these insights into clear, evidence-based findings that can inform program learning and decision-making. The consultant will play a critical role in bridging data to impact—developing a robust coding framework, conducting thorough analysis, and synthesizing findings into compelling outputs. These insights will support the refinement of program strategies, strengthen community health interventions, and guide future research and implementation efforts in Liberia’s malaria response.

Requirements

Master's degree in Global Health, Epidemiology, social science research, or related field.
Demonstrated experience in qualitative research, including Dedoose.
Progressive years of experience in research and evaluation in global health NGO work.
Demonstrated skills in writing and analysis, including data visualization, graphic design and other user-friendly and accessible approaches to technical writing.

Nice To Haves

Experience with community health worker programming

Responsibilities

Review the data (53 individual transcripts from FGDs and KIIs) and develop a coding framework for the second set of data that builds on the previous framework but incorporates changes or new information that might be present.
Review the framework with Liberia MERL staff who were engaged in the data collection, as well as the first round of coding and analysis.
Code the data appropriately, identifying patterns and themes and recording memos and quotes.
Analyze and visualize findings, reviewing and discussing findings with MERL and program staff.
Review data, program documents, and meet with program staff (by May 8, 2026).
Develop a coding framework in Dedoose for the 2nd set of data (by May 15, 2026).
Code the data and conduct preliminary analysis (by May 29, 2026).
Create a slide deck of findings for presentation to program staff (by June 5, 2026).
Write up findings of both formative and summative results and changes (by June 12, 2026).
Write/design a visual, user-friendly ‘project brief’ highlighting program and results (by June 19, 2026).