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9 Job Positions at Clinton Health Access Initiative- Rwanda (CHAI): (Deadline 29 January 2026)

2 Job Positions of Platform & Ai Data Engineers Officers at Clinton Health Access Initiative- Rwanda (CHAI): (Deadline 29 January 2026)

CHAI Rwanda

VACANCY ANNOUNCEMENT

TITLE: Platform & AI Data Engineers Officers (2)

Rwanda hospital jobs

Program: Digital Health

Job Location: Kigali, Rwanda

Type: Full-Time Paid

Start date: Immediate

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Overview 

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to saving lives and reducing the burden of disease in low-and middle-income countries while strengthening the capabilities of governments and the private sector in those countries to create and sustain high-quality health systems that can succeed without our assistance. For more information, please visit: http://www.clintonhealthaccess.org

The Government of Rwanda (GoR) strives to achieve Universal Health Coverage (UHC) by enabling equitable access to quality health services for the population as outlined in the Fourth Health Sector Strategic Plan (HSSP IV). This commitment has been made against a backdrop of rising health care costs and uncertainty around the future availability of donor funding and calls for improved health sector sustainability. Acknowledging this, the Government aims to employ effective, equitable, efficient, and sustainable health care financing and systems strengthening, putting an emphasis on primary health care as the cornerstone of a strong and sustainable health system.

CHAI Rwanda’s Health System Strengthening (HSS) programs work on a day-to-day basis with Government leadership in the Ministry of Health (MoH) and the Rwanda Social Security Board (RSSB). The goal of those programs is to support the Government to accelerate progress towards UHC by ensuring the sustainable delivery of quality, essential health services. This includes work to design and implement national Primary Health Care (PHC) reforms from health center level down to community health, to increase health workforce availability, to prioritize and sustainably finance essential services, and to support improved management, financing, and delivery of quality primary health care.

Rwanda hospital jobs

Position overview

CHAI currently seeks two Platform and DevOps Engineers to work with the Ministry of Health (MOH) National Health Intelligence Center to support the design, deployment, and maintenance of systems that collect, store, and analyze large sets of structured and unstructured data. The role involves assisting with data pipelines, databases, and big data tools, while also supporting DevOps practices such as CI/CD pipelines, containerization with Docker, and orchestration with Kubernetes. The engineers will contribute to system monitoring, troubleshooting, infrastructure maintenance, and automation to ensure that data systems are scalable, reliable, and optimized for use by data scientists, analysts, and other stakeholders. The candidates will be seconded to the National Health Intelligence Center (NHIC) and will report in parallel to CHAI, Program manager, Digital Health for specific CHAI-supported initiatives.

Platform Engineers will provide need-based technical assistance during the review and implementation of a new data analytics architecture at MOH/NHIC. This effort is a cornerstone to MOH’s goal to disrupt how data is managed and used, including big data, to inform important policy and operational decisions at all levels of implementation.

The Platform Engineers will help design and implement the framework for improved data architecture, governance and build capacity within the MOH and the National Health Intelligence Center (NHIC). In addition, the incumbents will work closely with the NHIC and digital team at MOH to incorporate and translate data needs into system requirements.

Job Description:

The key functions and deliverables of this role will include:

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1. National AI & Platform Infrastructure Engineering

• Design, build, and operate highly available, scalable, and secure national AI platform infrastructure (cloud, hybrid, and/or on-prem).
• Lead Infrastructure-as-Code (IaC) and automated environment provisioning for all AI and data platforms.
• Ensure strong environment separation for research, staging, and regulated production systems.
• Implement disaster recovery, failover, backups, and national business continuity for AI-supported services.

2. MLOps & AI Lifecycle Operations

• Own and operate the end-to-end MLOps platform, supporting model training, validation, secure promotion to production, rollback and retirement
• Enforce model versioning, reproducibility standards, audit trails for clinical and public health AI
• Implement continuous performance monitoring, data and model drift detection, automated retraining workflows
• Support secure real-time and batch AI inference services integrated into operational health systems.

3. Data Platform, Pipelines & Feature Infrastructure

• Design and manage national-scale data platforms supporting structured and unstructured health data.
• Build and maintain batch and streaming data pipelines, AI training pipelines, feature engineering and feature store infrastructure
• Enforce dataset versioning, lineage tracking, labeling workflows
• Ensure all AI data pipelines meet clinical audit, research governance, and regulatory traceability standards.

4. Clinical-Grade Reliability, Security & Compliance

• Implement secure access control, encryption, inference traceability, patient-level audit logging for AI-supported clinical systems
• Ensure continuous compliance with national health data governance, privacy and cybersecurity regulations
• Implement safe-fail mechanisms so that clinical services remain functional in the event of AI service disruptions.
• Conduct ongoing platform security hardening, vulnerability assessment, and threat monitoring.

5. Continuous Delivery, GitOps & Automation

• Design and operate secure CI/CD and GitOps workflows for platform services, Data pipelines and AI models
• Implement automated testing, security scanning, deployment approvals and production release controls
• Enforce code, configuration, and model promotion through auditable pipelines only.

6. Performance, Cost & Resource Governance

• Manage national AI compute infrastructure including GPU clusters and Distributed training environments
• Implement Fair resource scheduling, Quotas, Cost monitoring and Government vs partner workload separation
• Continuously optimize platform cost efficiency, compute utilization and inference performance at national scale

7. Interoperability with National Digital Health Systems

• Enable secure, high-performance AI integration with EMRs, HMIS, Surveillance systems and Laboratory and registry platforms
• Ensure standards-based data exchange, reliable real-time and batch data movement and Interoperable AI services within care and reporting workflows

8. Technical Collaboration & Enablement

• Provide standardized, secure AI development and experimentation environments for AI Engineers, Data Scientists and Researchers
• Work closely with AI Engineers, Senior Data Scientists and Digital Health & Integration Teams
• Support technical proposals, platform design reviews and national AI deployments

9. Documentation, Knowledge Management & Continuous Improvement

• Maintain comprehensive documentation for platform architecture, MLOps workflows, Data pipelines and security controls
• Continuously assess emerging technologies that enhance platform resilience, AI operational safety and National scalability

Required Qualifications:

• Bachelor’s degree/Diploma in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

• Proven experience in software engineering and/or DevOps practices for 4 years at least.
• Familiarity with Kubernetes, Docker, GitOps, and infrastructure-as-code (e.g., Ansible, Terraform).
• Basic understanding of networking concepts, system monitoring, and security best practices.
• Proficiency in SQL and experience with relational databases such as PostgreSQL.
• Strong problem-solving skills and attention to detail.
• Ability to collaborate effectively with cross-functional teams.
• Strong communication skills, both written and verbal.
• Commitment to data quality and accuracy.

Nice-to-Have Skills:

• Familiarity with concepts of data modeling and dimensional modeling.
• Hands-on experience with ETL tools (e.g., Apache NiFi, Talend, Airflow).
• Exposure to cloud platforms like AWS, Google Cloud, or Azure.
• Familiarity with big data frameworks (e.g., Hadoop, Apache Spark, Kafka).
• Knowledge of non-relational databases (e.g., MongoDB).
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience working with or supporting on-premises data environments.

Application procedure

Interested candidates should email a letter of interest (maximum 1 page) outlining how their background meets the requirements outlined above; CV (maximum 3 pages); and the names of three references
through chairwandarecruiting@clintonhealthaccess.org. The deadline for applications is January 23rd, 2026. Only shortlisted candidates will be contacted.

In compliance with the data protection law of Rwanda and by submitting your application and CV, you explicitly consent to the collection, processing, and storage of your personal data by Clinton Health Access Initiative for the sole purpose of managing and conducting the recruitment process for the position you have applied for.

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Technical Advisor, Monitoring, Evaluation and Learning (MEL) at Clinton Health Access Initiative- Rwanda (CHAI): (Deadline 29 January 2026)

CHAI Rwanda

VACANCY ANNOUNCEMENT

TITLE: Technical Advisor, Monitoring, Evaluation and Learning (MEL)

Program: Digital Health

Job Location: Kigali, Rwanda

Type: Full-Time Paid

Start date: Immediate

Number of Positions: 1

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Overview 

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to saving lives and reducing the burden of disease in low-and middle-income countries while strengthening the capabilities of governments and the private sector in those countries to create and sustain high-quality health systems that can succeed without our assistance. For more information, please visit: http://www.clintonhealthaccess.org

The Government of Rwanda (GoR) strives to achieve Universal Health Coverage (UHC) by enabling equitable access to quality health services for the population as outlined in the Fourth Health Sector Strategic Plan (HSSP IV). This commitment has been made against a backdrop of rising health care costs and uncertainty around the future availability of donor funding and calls for improved health sector sustainability. Acknowledging this, the Government aims to employ effective, equitable, efficient, and sustainable health care financing and systems strengthening, putting an emphasis on primary health care as the cornerstone of a strong and sustainable health system.

CHAI Rwanda’s Health System Strengthening (HSS) programs work on a day-to-day basis with Government leadership in the Ministry of Health (MoH) and the Rwanda Social Security Board (RSSB). The goal of those programs is to support the Government to accelerate progress towards UHC by ensuring the sustainable delivery of quality, essential health services. This includes work to design and implementing national Primary Health Care (PHC) reforms from health center level down to community health, to increase health workforce availability, to prioritize and sustainably finance essential services, and to support improved management, financing, and delivery of quality primary health care.

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Position overview

CHAI currently seeks an experienced and highly analytical Senior Monitoring, Evaluation, and Learning (MEL) Officer to work with the Ministry of Health (MoH) National Health Intelligence Center (NHIC) to lead the development, implementation, and continuous improvement of the Monitoring, Evaluation, and Learning framework for AI and digital health initiatives.

The Senior MEL Officer will play a central role in tracking progress, evaluating outcomes, and documenting learnings across NHIC’s programs, including the AI Lab. S/He will ensure that all interventions are guided by data-driven insights, meet quality standards, and generate evidence to inform strategic decision-making at the national level.

The role involves working closely with AI engineers, data scientists, and program leads to establish performance indicators, design evaluation methodologies, manage data collection systems, and synthesize findings for reporting and learning. The Officer will also lead efforts to document success stories, challenges, and lessons learned to strengthen institutional knowledge and program effectiveness.

S/He will be seconded to the National Health Intelligence Center (NHIC) and will report to the NHIC Data Science lead and in parallel to the CHAI digital health program manager, while collaborating with MoH departments, Rwanda Biomedical Center (RBC), and implementing partners to align MEL activities with national health priorities and reporting systems.

The Senior MEL Officer will play a critical role in ensuring accountability, learning, and continuous improvement across all NHIC initiatives, helping to translate data into actionable insights that advance Rwanda’s digital health and AI-driven transformation agenda.

Job Description:

The key functions and deliverables of this role will include:

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1. MEL Framework Development and Implementation

• Lead the design and operationalization of the NHIC MEL framework, ensuring alignment with MoH and national health monitoring systems.
• Develop key performance indicators (KPIs) for NHIC programs and AI projects, focusing on effectiveness, efficiency, and sustainability.
• Establish standardized data collection, management, and reporting systems across projects.
• Support development of dashboards and visualization tools for real-time performance tracking.

2. Data Collection, Management, and Quality Assurance

• Coordinate data collection activities in collaboration with NHIC teams, MoH departments, and implementing partners.
• Ensure data accuracy, completeness, and consistency through regular verification and quality checks.
• Manage centralized data repositories for NHIC’s MEL activities.
• Support integration of MEL data with national digital health platforms (e.g., DHIS2, HMIS, eBuzima).

3. Evaluation and Learning

• Lead or coordinate internal and external evaluations of NHIC programs and AI Lab initiatives.
• Conduct trend analysis and assess progress toward strategic objectives.
• Document best practices, innovations, and key learnings to support continuous improvement.
• Facilitate after-action reviews, learning sessions, and knowledge-sharing events to promote adaptive management.

4. Reporting and Communication

• Develop periodic progress reports (monthly, quarterly, annual) for NHIC leadership and partners.
• Prepare summary briefs and presentations highlighting achievements, challenges, and lessons learned.
• Ensure that MEL findings are translated into actionable recommendations and inform decision-making.
• Support preparation of donor reports and project performance summaries.

5. Capacity Building and Technical Support

• Build capacity of NHIC staff and partners in MEL concepts, data use, and results-based management.
• Mentor junior staff and interns in data collection, analysis, and reporting.
• Develop MEL training materials and standard operating procedures.

6. Coordination and Partnership Engagement

• Collaborate with MoH, and partner organizations to ensure coherence of MEL activities.
• Represent NHIC in national and regional MEL and digital health coordination forums.
• Support integration of NHIC MEL data into national health performance reviews.

Required Qualifications

• Master’s degree in public health, Epidemiology, Statistics, Data Science, Health Informatics, or related field.
• At least 5 years of progressive experience in monitoring, evaluation, and learning for health or digital health programs.
• Proven experience in developing MEL frameworks, indicators, and data collection tools.
• Strong analytical and quantitative skills, including proficiency in data visualization and statistical analysis.
• Experience with health information systems such as DHIS2, OpenMRS, KoboToolbox, or Power BI.
• Excellent writing, reporting, and presentation skills.
• Demonstrated ability to work with multidisciplinary teams and coordinate across institutions.
• Strong commitment to evidence-based decision-making and accountability.

Application procedure

Interested candidates should apply through Technical Advisor, MEL. Only shortlisted candidates will be contacted.

In compliance with the data protection law of Rwanda and by submitting your application and CV, you explicitly consent to the collection, processing, and storage of your personal data by Clinton Health Access Initiative for the sole purpose of managing and conducting the recruitment process for the position you have applied for.

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CLICK HERE TO READ MORE AND APPLY

Health AI Sr Technical Advisor at Clinton Health Access Initiative- Rwanda (CHAI): (Deadline 29 January 2026)

CHAI Rwanda

VACANCY ANNOUNCEMENT

TITLE: Health AI Sr Technical Advisor

Program: Digital Health

Job Location: Kigali, Rwanda

Type: Full-Time Paid

Start date: Immediate

Overview 

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to saving lives and reducing the burden of disease in low-and middle-income countries while strengthening the capabilities of governments and the private sector in those countries to create and sustain high-quality health systems that can succeed without our assistance. For more information, please visit: http://www.clintonhealthaccess.org

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The Government of Rwanda (GoR) strives to achieve Universal Health Coverage (UHC) by enabling equitable access to quality health services for the population as outlined in the Fifth Health Sector Strategic Plan (HSSP V). This commitment has been made against a backdrop of rising health care costs and uncertainty around the future availability of donor funding and calls for improved health sector sustainability. Acknowledging this, the Government aims to employ effective, equitable, efficient, and sustainable health care financing and systems strengthening, putting an emphasis on primary health care as the cornerstone of a strong and sustainable health system.

CHAI Rwanda’s Health System Strengthening (HSS) programs work on a day-to-day basis with Government leadership in the Ministry of Health (MoH) and the Rwanda Social Security Board (RSSB). The goal of those programs is to support the Government to accelerate progress towards UHC by ensuring the sustainable delivery of quality, essential health services. This includes work to design and implement national Primary Health Care (PHC) reforms from health center level down to community health, to increase health workforce availability, to prioritize and sustainably finance essential services, and to support improved management, financing, and delivery of quality primary health care.

Position overview

CHAI currently seeks a highly motivated and experienced Health AI Sr Technical Advisor to work with the Ministry of Health (MoH) National Health Intelligence Center (NHIC) to oversee the coordination, implementation, and daily management of artificial intelligence (AI) projects that strengthen Rwanda’s health system. The Health AI Sr Technical Advisor will be responsible for the strategic leadership, governance, coordination, and operational management for the NHIC/health AI lab. This role ensures that all artificial intelligence initiatives in the health sector are ethically sound, clinically safe, technically robust, and aligned with national digital health strategies. It provides end-to-end oversight of the AI lifecycle, leads a multidisciplinary team, manages partnerships, ensures regulatory preparedness, and drives the responsible scale-up of AI solutions across the national health system.

The incumbent will be seconded to the National Health Intelligence Center (NHIC) under the Ministry of Health and will report to the NHIC leadership and in parallel to the CHAI digital health Program Manager, while working closely with both technical and policy teams to translate health priorities into actionable AI-driven solutions.

Job Description:

The key functions and deliverables of this role will include:

1. Governance, Policy Alignment and Leadership

• Ensure alignment of AI solutions with national digital health strategies, MoH policies, and ethical AI principles.
• Lead or contribute to the development and enforcement of national AI standards, model validation protocols, safety frameworks, and regulatory readiness processes.
• Provide strategic oversight to ensure that AI systems are transparent, explainable, auditable, and fit for regulatory review.
• Represent the AI Lab in technical committees, steering groups, and regulatory working groups, advancing evidence-based AI governance.
• Promote institutional accountability through documented workflows, formal approval processes, and traceable decision-making.
• Lead and contribute to capacity-building initiatives, including mentorship, training programs, and knowledge dissemination for AI in healthcare.

2. AI Program Coordination and Strategic Planning

• Provide end-to-end oversight for the planning, execution, and monitoring of NHIC/AI project portfolio.
• Develop and manage annual and quarterly workplans, budgets, timelines, and performance reports.
• Ensure all AI initiatives are clinically relevant, ethically approved, and integrated into national health systems and care pathways.
• Coordinate cross-functional execution across clinical, data, ICT, legal, and policy units.
• Ensure that project risks, dependencies, and regulatory requirements are actively managed.

3. AI Lifecycle Management and Decision Authority

• Lead the full AI lifecycle, including use case intake and prioritization, prototyping and model development, validation and piloting, and clinical deployment
• Enforce formal decision gates for technical performance, clinical safety and ethical and legal compliance
• Ensure continuous model monitoring, version control, retraining protocols, bias detection and post-deployment surveillance

4. Team Leadership and Capacity Building

• Lead and supervise a multidisciplinary AI team, ensuring clarity of roles, accountability, and performance excellence.
• Establish effective task management, performance tracking, and quality assurance mechanisms.
• Conduct regular performance check-ins, coaching, and structured mentorship.
• Promote a work culture grounded in innovation, collaboration, ethical responsibility, and results orientation.
• Facilitate staff training and collaboration with academic institutions, technical partners, and research organizations.

5. Operations, Infrastructure, and Resource Management

• Facilitate operations of the NHIC/AI initiatives, including infrastructure readiness and workflow stability.
• Support coordination of procurement, maintenance, and utilization of hardware and software resources (servers, GPUs, cloud infrastructure).
• Support financial planning, grant management, and administrative operations.
• Ensure comprehensive project documentation, knowledge management, and institutional memory.

6. Partnership and Stakeholder Engagement

• Serve as a focal point for coordination between health and research institutions, and private sector and innovation partners.
• Facilitate partner coordination meetings, reporting, and formal communications.
• Support the development of new partnerships, funding proposals, and strategic collaborations.

7. Ethics, Clinical Safety and regulatory Compliance

• Ensure full compliance with data governance, ethical, and privacy regulations governing health AI.
• Coordinate closely with clinical leadership, legal teams, and ethics committees to secure all necessary approvals.
• Establish and enforce clinical risk assessment, safety monitoring, and AI incident reporting frameworks.
• Ensure that no AI system is deployed into clinical workflows without formal ethical and clinical governance clearance.

8. Monitoring, Evaluation, and Reporting

• Develop and manage NHIC/health AI lab KPIs, dashboards, and activity trackers.
• Lead preparation of technical, progress, and donor reports.
• Support evaluation of AI model performance, impact, clinical safety, and scalability.
• Institutionalize learning through documentation of best practices, failures, lessons learned, and policy implications.

Required Qualifications

• Master’s degree or higher in Data Science, Artificial Intelligence, Health Informatics, Computer Science, Digital Health or a related field.
• Minimum of 6 years of experience in leadership, or program management role in the field of health and integration of AI in digital systems. Experience in healthcare would be an advantage.
• Proven experience working with government health institutions, donor-funded programs, clinical and regulatory environments.
• Strong understanding of AI applications in healthcare (including clinical decision support systems, predictive analytics, automation, and workflow optimization), digital health systems, and data governance principles
• Demonstrated leadership and team management skills, with experience overseeing cross-functional teams.
• Excellent communication, organizational, and stakeholder engagement abilities.
• Clear commitment to ethical, equitable, and sustainable use of AI in healthcare.

Application procedure

Interested candidates should apply through Senior Technical Advisor, Health AI. Only shortlisted candidates will be contacted.

In compliance with the data protection law of Rwanda and by submitting your application and CV, you explicitly consent to the collection, processing, and storage of your personal data by Clinton Health Access Initiative for the sole purpose of managing and conducting the recruitment process for the position you have applied for.

Rwanda hospital jobs

CLICK HERE TO READ MORE AND APPLY

2 Job Positions of Technical Advisor, AI Engineer at Clinton Health Access Initiative- Rwanda (CHAI): (Deadline 29 January 2026)

CHAI Rwanda

VACANCY ANNOUNCEMENT

TITLE: Technical Advisor, AI Engineer (2)

Program: Digital Health

Job Location: Kigali, Rwanda

Type: Full-Time Paid

Start date: Immediate

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Overview 

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to saving lives and reducing the burden of disease in low-and middle-income countries while strengthening the capabilities of governments and the private sector in those countries to create and sustain high-quality health systems that can succeed without our assistance. For more information, please visit: http://www.clintonhealthaccess.org.

The Government of Rwanda (GoR) strives to achieve Universal Health Coverage (UHC) by enabling equitable access to quality health services for the population as outlined in the Fifth Health Sector Strategic Plan (HSSP V). This commitment has been made against a backdrop of rising health care costs and uncertainty around the future availability of donor funding and calls for improved health sector sustainability. Acknowledging this, the Government aims to employ effective, equitable, efficient, and sustainable health care financing and systems strengthening, putting an emphasis on primary health care as the cornerstone of a strong and sustainable health system.

CHAI Rwanda’s Health System Strengthening (HSS) programs work on a day-to-day basis with Government leadership in the Ministry of Health (MoH) and the Rwanda Social Security Board (RSSB). The goal of those programs is to support the Government to accelerate progress towards UHC by ensuring the sustainable delivery of quality, essential health services. This includes work to design and implement national Primary Health Care (PHC) reforms from health center level down to community health, to increase health workforce availability, to prioritize and sustainably finance essential services, and to support improved management, financing, and delivery of quality primary health care.

Position overview

CHAI currently seeks two skilled and innovative AI Engineers to work with the Ministry of Health (MoH) National Health Intelligence Center (NHIC) to support the design, development, and implementation of artificial intelligence (AI) solutions that strengthen Rwanda’s health system. The AI Engineers will play a key role in transforming health data into actionable insights through model development, validation, and deployment.

The Engineers will contribute to building scalable AI architectures, developing algorithms, and integrating predictive models into national digital health systems. The AI Engineers will be responsible for the design, development, deployment, monitoring, and optimization of production-grade AI systems that address national public health and clinical priorities. This role ensures that AI models are technically robust, clinically relevant, secure, interoperable, and ethically deployable within Rwanda’s digital health ecosystem. The incumbents will be seconded to the National Health Intelligence Center (NHIC) and will report to the NHIC/Health AI lead and the CHAI Digital Health program manager while working collaboratively with the data scientists, and digital health system teams to translate public health priorities into AI-driven applications that support decision-making and improve service delivery.

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Job Description:

The key functions and deliverables of this role will include:

1. AI Model Development and Optimization

• Design, develop, train and optimize machine learning and deep learning models to strengthen the health system with AI capabilities.
• Conduct data preprocessing, feature engineering, model training, validation, tuning and performance optimization.
• Develop explainable AI pipelines to support clinical trust and regulatory transparency.
• Apply best practices in version control, experiment tracking, and reproducible ML workflows.

2. Deployment, MLOps and post-deployment monitoring

• Deploy AI models into secure, scalable production environments.
• Establish and maintain model performance monitoring, data and concept drift detection, automated retaining pipelines, and incident and rollback mechanisms.
• Optimize model inference speed, system reliability, and compute cost efficiency.
• Maintain structured model versioning, release management, and retirement protocols.

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3. System integration and interoperability

• Integrate AI solutions with national digital health platforms, including EMRs, HMIS, LMIS, and other MoH systems
• Implement standards-based interoperability using APIs, HL& FHIR, and MoH recommended architecture patterns
• Develop real-time and batch data pipelines that enable secure AI inference in live workflows

4. Data Management, Quality and Security

• Work with NHIC data teams to access, clean, label, and manage large structured and unstructured datasets.
• Enforce data quality validation, bias detection, and representativeness checks.
• Implement secure data handling, encryption, access controls, and audit logging in compliance with national data governance and privacy laws.
• Maintain full dataset documentation and lineage tracking.

5. Model Evaluation, Testing, Clinical Validation and Regulatory support

• Conduct rigorous testing of AI models to ensure accuracy, fairness, and clinical relevance.
• Support clinical pilots, facility-level validation, and workflow integration testing.
• Prepare technical documentation for ethics committees, regulatory reviews, and audit processes.
• Perform error analysis and continuous refinement based on real-world clinical feedback.

6. Documentation, Reporting, and Knowledge Sharing

• Produce clear documentation for model architecture, training processes, deployment pipelines and integration workflows
• Provide inputs to technical reports, donor updates, concept notes and system design briefs.
• Support the development of user guides, SOPs, and training materials for health workers and system administrators.

7. Collaboration and Technical advisory

• Work closely with the other team members and departments within the health sector to improve and scale AI infrastructure
• Engage in weekly AI review sprints, technical design sessions and AI TWGs.

• Provide AI engineering support to Grant proposals, research collaborations, and public-private partnerships.

8. Continuous Learning and Innovation

• Stay updated on advancements in AI and AI technology
• Explore emerging tools and frameworks for national-scale deployments of AI solutions.
• Proactively propose new high-impact use cases for the health sector.

Required Qualifications

Qualifications and Requirements

Education

• Master’s degree (or higher) in AI, Computer Engineering, Data Science, Biomedical Engineering, Health Informatics or a closely related field.
• 4 – 5 years’ experience in Applied Machine learning, AI system development and production-grade deployments

Technical Expertise

• Strong experience in APIs, data pipelines, training workflows, deployment, maintenance and ML frameworks and systems integration.
• Hands-on experience across the full LLM stack, including model pretraining, fine-tuning, evaluation, and serving.
• Demonstrated ability to design and implement scalable model evaluation frameworks, including model-based assessment techniques.
• Advanced knowledge of reinforcement learning, including algorithm design, environment interaction, and performance evaluation.
• Strong engineering capabilities for rapid iteration on data pipelines, training workflows, deployment, and maintenance.
• Proven experience deploying and sustaining healthcare IT systems or medical AI agents in real-world environments.

Application procedure

Interested candidates should apply through Technical Advisor, AI Engineer. Only shortlisted candidates will be contacted.

In compliance with the data protection law of Rwanda and by submitting your application and CV, you explicitly consent to the collection, processing, and storage of your personal data by Clinton Health Access Initiative for the sole purpose of managing and conducting the recruitment process for the position you have applied for.

Rwanda hospital jobs

CLICK HERE TO READ MORE AND APPLY

Technical Advisor at Clinton Health Access Initiative- Rwanda (CHAI): (Deadline 29 January 2026)

CHAI RWANDA

VACANCY ANNOUNCEMENT

Title: Technical Advisor (2)

Program: Sustainable Health Financing

Job Location: Kigali

Start date: Immediately

Type of Assignment:Full-Time Paid

Organization Overview

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to strengthening integrated health systems around the world and expanding access to care and treatment for HIV/AIDS, malaria and other illnesses. Based on the premise that business-oriented strategy can facilitate solutions to global health challenges, CHAI acts as a catalyst to mobilize new resources and optimize the impact of these resources to save lives, via improved organization of commodity markets and more effective local management. CHAI does not operate stand-alone programs, nor does it build parallel health systems. Rather, CHAI works at the invitation and in support of governments. We focus on large-scale impact and have secured lower pricing agreements for treatment options in more than 70 countries. CHAI’s teams are working side-by-side with over 30 governments to tackle many of the largest barriers to effective health care. For more information, please visit: http://www.clintonhealthaccess.org

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Program and Position Overview

The Government of Rwanda (GoR) strives to achieve Universal Health Coverage (UHC) by enabling equitable access to quality health services for the population as outlined in the Fifth Health Sector Strategic Plan (HSSP V). This commitment has been made against a backdrop of rising health care costs and uncertainty around the future availability of donor funding and calls for improved health sector sustainability. Acknowledging this, the Government aims to employ effective, equitable, efficient, and sustainable health care financing and systems strengthening, putting an emphasis on primary health care as the cornerstone of a strong and sustainable health system.

CHAI Rwanda’s Sustainable Health Financing (SHF) programs work on a day-to-day basis with Government leadership in the Ministry of Health (MoH) and the Rwanda Social Security Board (RSSB). The goal of those programs is to support the Government to accelerate progress towards UHC by ensuring the sustainable delivery of quality, essential health services. This includes work to prioritize and sustainably finance essential services, to improve financial protection through the Community Based Health Insurance (CBHI) scheme, and to support improved management, financing, and delivery of quality primary health care.

Position Overview

CHAI seeks two Technical Advisors to join Rwanda’s sustainable PHC financing team. In this role, the TAs will support the implementation of CHAI support to the Ministry of Health working closely with key decision makers of the MoH & RSSB. This will include support to various health financing and PHC system reforms and operational improvement initiatives, including a provider payment reform for PHC and the revision of the Health Benefit package and strengthening PHC performance measurement system.

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The Technical Advisors will report to the Program Manager for Health Systems Strengthening and will work closely with other CHAI teams at the country and global level, including in Health Financing; Health System Strengthening; Reproductive, Maternal, and Child Health; and others.

Responsibilities

• Act as a key advisor in the design and implementation of health financing interventions and reforms. Those will include, and not be limited to, the following:
• An ambitious provider payment reforms for primary health care providers. This will involve supporting the government at central and subnational levels for the roll out of the payment reform.
• The institutionalization of an evidence-based process to revise health sector health benefit package and ensure essential services are covered by the national insurance scheme
• Advise government on the development and implementation of a mid to long-term financing plan for primary health system strengthening and help drive progress towards a stronger and more sustainable PHC insurance system.
• Support the government in conducting in-depth financial analyses to inform priority reforms. These analyses may include the following
• Projections of service demand and financial needs for CBHI, as well as an analysis of financial availability and funding gaps.
• Efficiency analyses that will inform interventions to improve financial management at central and peripheral levels and for different pillars of the health system.
• Critical analysis of the distribution of financial resources for the health system as a whole and the expenditure incurred.
• Other quantitative analyses to assess the opportunities to improve the efficiency, effectiveness and sustainability of health financing in Rwanda.
• Provide technical and operational oversight to the PHC performance measurement tracker and improvement system

• Support the implementation of the PHC performance improvement proof of concept project according to the implementation plan.
• Provide technical input and inform MoH and other stakeholders, monitor and document the progress of the proof-of-concept on PHC performance management

• Provide technical support for the Rwanda Community Health Program (CHP) reform initiative, including contributing technical input to the design and implementation of the new CHP reform program’s strategic plan and roadmap development process as well as financing in collaboration with the CHAI HRH team.

• Transfer expertise to government partners in data analysis, including costing, scenario modelling and budgeting.
• Draft presentations and reports for internal and external stakeholders on the work of health system strengthening in Rwanda.
• Other responsibilities as assigned by supervisor.

Qualifications

• At least 6 years of experience in Designing and implementing health financing policies, conducting economic evaluations and cost analyses, analyzing health economics data to support decision making, supporting health financing projects or health systems strengthening.
• Experience in Sub Saharan Africa is highly preferred.
• Holds a master’s degree in health economics, or health Finance related field
• Experience working with government authorities in developing countries, with experience in sub-Saharan Africa;
• Strong quantitative, presentation and writing skills, including proficiency in MS Excel, PowerPoint and Word;
• Excellent working command of English language.

Advantages

• Experience in training and supporting teams in health financing practices
• Experience working in public health and with international organizations;
• Familiarity with a broad range of key global health issues, including Primary healthcare, health systems or health financing challenges in developing countries.
• Fluency in French or Kinyarwanda.

Application procedure: 

Interested candidates should apply through Technical Advisor Health Financing. Only shortlisted candidates will be contacted.

In compliance with the data protection law of Rwanda and by submitting your application and CV, you explicitly consent to the collection, processing, and storage of your personal data by Clinton Health Access Initiative for the sole purpose of managing and conducting the recruitment process for the position you have applied for.

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