Qualitative Research Consultant, Liberia

This role was posted on April 20, 2026. Please note that we will review applications on a rolling basis. The Role 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. This position is remote with a preference for candidates available to work in the GMT timezone. Consultancy Details Project Duration: May - June 2026 Commitment: 200 estimated hours Location: Remote with preference for GMT working hours Scope of Work An early (‘formative’) study on knowledge and perceptions around the malaria vaccine was conducted, the data uploaded and coded in Dedoose, but has not been fully written up. In addition, a second ‘summative’ set of qualitative data has been collected and transcribed, but not yet coded or analyzed. The request is to 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. The framework should be reviewed with Liberia MERL staff who were engaged in the data collection, as well as the first round of coding and analysis. Once complete, the consultant will code the data appropriately, identifying patterns and themes and recording memos and quotes. Then the findings will be analyzed and visualized, reviewing and discussing findings with MERL and program staff along the way. Outputs should include the coding framework, a slide deck featuring key findings from the second set of data (draft, and revised after review with staff), a written analysis comparing the ‘baseline’ dataset and findings with the later set, looking for changes in knowledge, behavior or practices related to use of the malaria vaccine, a ‘project brief’ detailing the program, the study details, and the findings, along with recommendations for future program design and research. Key Deliverables The Consultant will work on the deliverables with tentative deadlines: 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) Required Qualifications: 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. Experience with community health worker programming (preferred) About Last Mile Health Last Mile Health (LMH) saves lives in the world's most remote communities by partnering with governments to bring critical primary care services to the doorsteps of people living in the last mile. LMH is a registered 501(c)3 non-profit organization and currently works in Ethiopia, Ghana, Liberia, Malawi, Uganda, and Sierra Leone with US offices in Boston. For more information, visit www.lastmilehealth.org . We are an equal-opportunity employer and value diversity at LMH. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.