Healing Fields Foundation Hiring Remote M&E Associate to Strengthen Global Health Equity Systems
Healing Fields Foundation is hiring a remote Monitoring & Evaluation (M&E) Associate to support healthcare data systems, reporting, and program evaluation. The role focuses on improving health access and outcomes for underserved communities through data-driven decision-making.
Healing Fields Foundation Expands Remote Team to Strengthen Global Health Monitoring Systems
As global health systems continue to face challenges related to accessibility, affordability, and equity, organisations focused on community-based healthcare solutions are increasingly relying on data-driven approaches to improve outcomes. One such organisation is Healing Fields Foundation, a non-profit institution working to improve healthcare access for underserved populations, particularly women in rural and resource-poor communities.
The organisation has announced a new remote vacancy for a Monitoring and Evaluation (M&E) Associate, a role designed to strengthen data systems, reporting structures, and program performance tracking across its health initiatives.
This opportunity reflects the growing importance of monitoring and evaluation roles in the global development and public health sectors, where accurate data collection and analysis are essential for improving service delivery and informing policy decisions.
Advancing Health Equity Through Data and Research
Healing Fields Foundation operates within the global health development space, focusing on building systems that ensure access to affordable and quality healthcare for vulnerable populations.
The organisation works in collaboration with community groups, healthcare service providers, private organisations, and government institutions to strengthen health delivery systems and improve accessibility in underserved regions.
At the core of its mission is the belief that sustainable healthcare improvements require not only service delivery but also continuous monitoring, evaluation, and evidence-based decision-making.
The newly advertised M&E Associate role plays a critical part in this mission by ensuring that programme activities are effectively tracked, measured, and analysed to support long-term impact.
Remote Monitoring and Evaluation Role Designed for Development Professionals
The Monitoring and Evaluation Associate position is a fully remote role, making it accessible to candidates across different regions with relevant academic and professional backgrounds.
The role is structured to support the organisation’s health programmes through systematic data collection, reporting, and analysis.
The selected candidate will be responsible for working closely with field teams, supporting data quality assurance, and contributing to programme evaluation processes.
This position is particularly suited for early-career and mid-level professionals with an interest in public health, development studies, and data analysis within the nonprofit sector.
Key Responsibilities of the M&E Associate
The role is divided into four main functional areas: data management, reporting, programme coordination, and learning support.
Data Collection and Analysis
The M&E Associate will be responsible for supporting accurate data collection across health programmes. This includes maintaining monitoring tools, updating data trackers, and assisting with both qualitative and quantitative analysis.
The role also involves identifying trends, gaps, and insights that can be used to improve programme effectiveness and service delivery.
Reporting and Communication
A key part of the position involves preparing regular reports on programme performance, including daily, weekly, monthly, and quarterly updates.
The candidate will also be expected to document field insights, success stories, and operational findings. These outputs will support both internal learning and external reporting requirements.
Programme Coordination and Support
The M&E Associate will work closely with field teams to ensure timely data collection and validation. This includes supporting coordination processes and ensuring data quality standards are maintained.
The role also involves implementing feedback from programme reviews to improve data accuracy and operational efficiency.
Learning and Capacity Building
In addition to technical responsibilities, the candidate will contribute to training and capacity-building efforts. This includes supporting field staff in using data collection tools and participating in internal review meetings.
The role encourages continuous learning and improvement, particularly in strengthening monitoring systems and programme evaluation practices.
Required Qualifications and Skills
Healing Fields Foundation is seeking candidates with a strong academic background and an interest in health systems, data analysis, and social impact.
Minimum requirements include:
- A Bachelor’s degree in Social Sciences, Public Health, Statistics, Development Studies, or a related field
- A Master’s degree is considered an advantage
- Basic understanding of data analysis and interpretation
- Familiarity with M&E tools and data systems such as Excel or Google Sheets
- Strong communication and coordination skills
- Willingness to learn and take initiative
- Interest in healthcare, community development, and social impact
The organisation is particularly interested in candidates who demonstrate problem-solving ability, attention to detail, and the capacity to work collaboratively in remote environments.
The Growing Importance of Monitoring and Evaluation in Global Health
Monitoring and Evaluation (M&E) has become a critical function within international development and public health organisations.
As funding and resources for health programmes increase, donors and implementing organisations are placing greater emphasis on accountability, transparency, and measurable impact.
M&E professionals play a central role in ensuring that programmes achieve their intended outcomes by:
- Tracking performance indicators
- Assessing programme effectiveness
- Identifying gaps in service delivery
- Supporting evidence-based decision-making
- Improving accountability to stakeholders
In health-focused organisations such as Healing Fields Foundation, M&E roles are essential for ensuring that interventions translate into meaningful improvements in healthcare access and quality.
A Remote Opportunity in the Global Development Sector
The remote nature of the position reflects a broader trend in the development sector, where organisations are increasingly adopting flexible work models.
Remote roles allow organisations to access a wider pool of talent while enabling professionals from different geographic regions to contribute to global development initiatives.
For candidates interested in international development careers, remote M&E roles provide valuable exposure to programme implementation, data systems, and cross-functional collaboration.
Application Process and How to Apply
Interested candidates are encouraged to apply by submitting their CV via email to:
Applicants may also access additional information through the organisation’s official documentation and application form.
The position remains open until filled, meaning applications will be reviewed on a rolling basis.
Candidates are advised to ensure their CV clearly reflects relevant academic qualifications, analytical skills, and any experience in data management or monitoring systems.
Conclusion
The remote Monitoring and Evaluation Associate role at Healing Fields Foundation represents an important opportunity for professionals interested in global health, data analysis, and social impact work.
As the organisation continues its mission to improve healthcare access for underserved communities, the role of data and evaluation becomes increasingly critical in shaping effective, evidence-based interventions.
For candidates seeking to build careers in international development and public health, this position offers practical experience in programme monitoring, reporting, and impact evaluation within a mission-driven organisation focused on health equity.
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