By Human Resources Department
ABOUT US
GaneshAID is a women-led humanist consultancy dedicated to saving more lives in low- and middle-income countries.
Our organization specializes in improving global health while respecting ethical and humanistic principles.
We are proud to support organizations and governments in developing practical, innovative approaches to solve persistent problems of inequity and low health coverage. Together with its partners, GaneshAID provides knowledge on trends in innovations and provides new ideas that support the strategic agenda of organizations, governments, and communities.
We pay particular attention to the needs of vulnerable populations, while ensuring that the proposed solutions are not only focused on economic efficiency or technical management, but also integrate values such as human dignity, equitable access to care, and community participation.
For more information, please visit:
Our website: https://ganeshaid.com/en/
Our LinkedIn page: https://www.linkedin.com/company/ganeshaid/
ABOUT THE PROJECT
The project aims to evaluate AI-enabled clinical decision support tools (CDSTs) used by frontline health workers , generating robust real-world evidence to improve health outcomes, system efficiency, and equity. By focusing on workflow integration, usability, and rigorous impact evaluations , the initiative helps health systems and ministries of health in low- and middle-income countries use data and evidence to make informed decisions regarding the responsible deployment and scale-up of AI tools within primary health care settings.
Reporting to: Programme Director.
Location: Sub-Saharan Africa, South Asia, and Southeast Asia (with in-country travel to regional offices as required).
1. Field Implementation Officers (2–3 positions)
Key Responsibilities
1. Field Deployment and Training
- Support rollout of the CDST across selected study sites.
- Conduct training sessions for frontline health workers on tool use, including clinical workflows and decision-support functions.
- Provide refresher training and on-site coaching to reinforce correct usage.
2. Workflow Integration
- Facilitate integration of the CDST into routine service delivery processes.
- Support health workers to incorporate the tool into consultation, triage, and referral workflows.
- Identify and document workflow bottlenecks and operational challenges.
3. Supervision and Support
- Provide ongoing on-site and remote support to frontline users.
- Monitor adherence to intended use of the tool (e.g., frequency of use, correct application).
- Troubleshoot basic operational issues and escalate technical problems to the Technical Product Support team.
4. Data Collection Support
- Support implementation of data collection protocols, including facility registers, digital logs, and survey tools where applicable.
- Ensure completeness and timeliness of routine data capture.
- Coordinate with the Monitoring & Data Officer to validate field-level data.
5. Implementation Monitoring
- Track tool usage patterns (e.g., uptake, adherence, override behaviour).
- Document implementation fidelity and variations across sites.
- Record qualitative insights on usability, acceptability, and user experience.
6. Stakeholder Engagement
- Maintain regular communication with facility staff and local health authorities.
- Support coordination with the Ministry of Health and implementing partners at sub-national level.
- Facilitate feedback loops between frontline users and the project team.
Required Qualifications and Experience
- Degree in public health, nursing, health sciences, or related field
- Experience working in primary health care or community health settings
- Experience in training and supervision of frontline health workers
- Familiarity with digital health tools or data collection systems
- Strong interpersonal and communication skills
Required Competencies
- Ability to engage constructively with health workers and local authorities
- Ability to work in low-resource and field-based environments
- Strong problem-solving and adaptability
- Attention to detail and commitment to data quality
2. Monitoring & Data Officer
1. Data Management and Quality Assurance
- Develop and implement data quality assurance protocols aligned with the evaluation design.
- Monitor completeness, accuracy, and consistency of data collected across sites.
- Conduct routine data verification and validation checks.
2. Monitoring System Implementation
- Establish and maintain monitoring systems for tracking implementation progress and key indicators.
- Develop dashboards or reporting tools (in collaboration with Data Science Lead) to track real-time performance.
3. Data Collection Oversight
- Ensure adherence to data collection protocols (quantitative and qualitative).
- Support field teams in correct data capture and reporting procedures.
- Identify and address gaps or inconsistencies in data collection.
4. Data Integration and Management
- Coordinate integration of multiple data sources, including:
- Facility data (e.g., registers, HMIS)
- CDST system logs and usage data
- Survey or qualitative data (if applicable)
- Maintain secure and organized datasets for analysis.
5. Support to Evaluation and Analysis
- Prepare cleaned and validated datasets for analysis by the evaluation team.
- Support definition and tracking of key indicators and outcome measures.
- Contribute to preliminary data analysis and interpretation as required.
6. Bias Mitigation and Data Integrity
- Identify potential sources of bias related to data quality, missing data, or measurement error.
- Implement corrective actions to strengthen data reliability.
- Document data limitations and support transparent reporting.
7. Reporting and Documentation
- Maintain documentation of data collection tools, protocols, and changes.
- Produce regular monitoring reports on data quality and implementation progress.
Required Qualifications and Experience
- Degree in statistics, epidemiology, public health, data science, or related field
- Experience in monitoring and evaluation (M&E) or research data management
- Experience working with health information systems or digital health data
- Strong skills in data cleaning, validation, and management
Required Qualifications and Experience
- Strong skills in data cleaning, validation, and management
- Degree in statistics, epidemiology, public health, data science, or related field
- Experience in monitoring and evaluation (M&E) or research data management
- Experience working with health information systems or digital health data
Required Competencies
- Understanding of data protection and confidentiality principles
- Strong analytical and problem-solving skills
- High attention to detail and accuracy
- Proficiency in data tools (e.g., Excel, Stata, R, or similar)
- Ability to work collaboratively with field and technical teams
NOTE
The outcome of these recruitments will be determined following the approval of GaneshAID’s proposal.
HOW TO JOIN?
Interested applicants are kindly requested to complete the application form via the following link.
Please click here to apply. Shortlisted candidates will be contacted for further evaluation.
GaneshAID values diversity and welcomes applicants of all backgrounds, as we believe that different perspectives and experiences enrich our work and enable us to better serve the communities we work with.
