The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to our mission of saving lives and reducing the burden of disease in low-and middle-income countries. We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems.

CHAI was founded in 2002 in response to the HIV/AIDS epidemic, with the goal of dramatically reducing the price of life-saving drugs and increasing access to these medicines in the countries with the highest burden of the disease. Over the following two decades, CHAI has expanded its focus. Today, along with HIV, we work with our partners to prevent and treat infectious diseases such as COVID-19, malaria, tuberculosis, and hepatitis. Our work has also expanded into cancer, diabetes, hypertension, and other non-communicable diseases, and we work to accelerate the rollout of lifesaving vaccines, reduce maternal and child mortality, combat chronic malnutrition, and increase access to assistive technology. We are investing in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing. With each new and innovative program, our strategy is grounded in maximizing sustainable impact at scale, ensuring that governments lead the solutions, that programs are designed to scale nationally, and learnings are shared globally.

At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication, and passion for our mission and values. We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skill sets and life experiences. CHAI is deeply grounded in the countries we work in, with the majority of our staff based in program countries. Learn more about our exciting work: http://www.clintonhealthaccess.org

CHAI is an Equal Opportunity Employer, and is committed to providing an environment of fairness, and mutual respect where all applicants have access to equal employment opportunities. CHAI values diversity and inclusion, and recognizes that our mission is best advanced by the leadership and contributions of people with diverse experience, backgrounds, and culture.

Position Overview

Leveraging deep expertise in strengthening healthcare systems, CHAI has launched an ambitious Artificial Intelligence (AI) initiative that responsibly harnesses AI to radically enhance health delivery, improve patient and provider experiences, and achieve significant cost and efficiency gains in low- and middle-income countries (LMICs). AI promises a significant leap in diagnostics, treatment optimization, patient engagement, and health systems efficiency. CHAI’s AI initiative seeks to systematically capture and scale these benefits, delivering meaningful, sustainable health impacts at scale.

CHAI is seeking an Associate or Senior Associate, Clinical AI to contribute to Clinical AI implementation work in Ethiopia. The successful candidate is a practicing or recently practicing clinician — medical doctor, nurse, or midwife — who brings real-world clinical workflow, user needs, and implementation realities into the design, evaluation, and rollout of the initiative’s AI-powered tools. Reporting to the Sr Manager, AI (Ethiopia), and working closely with CHAI’s Global Clinical AI team, this role is the clinical and implementation engine of the country-level work.

This Clinical AI role for Ethiopia is responsible for scoping clinical and user requirements from the country’s clinical context — workflow, clinical practice, connectivity, interoperability, infrastructure — and feeding them with precision into the global product and engineering process. The role will drive product clinical stakeholder engagement, scoping, evaluation coordination, and implementation in country.

The work moves quickly. The team requires someone who can absorb new contexts fast, surface concerns and solutions constructively, provide defensible critique, push for precision without slowing the pace, and gel naturally with both country and global colleagues. The information this role gathers — clinical scenarios, workflow steps, edge cases, evaluation findings — is what the models and products will be built on; accuracy and traceability are non-negotiable. Likewise, the post holder will be responsible for generating this information with impeccable respect for patient privacy, informed consent, research ethics, and data governance.

This position is based in Ethiopia. Position levelling is flexible and commensurate with the successful performance of the candidate and their experience; the role may be filled at the Associate or Senior Associate level. The role requires regular travel within the country and some international travel (10–25% annually).

• Scope clinical and user requirements for the initiative’s AI tools from the country’s clinical context — clinical workflow, user needs, connectivity realities, interoperability constraints, infrastructure dependencies — and translate them into clear, precise inputs to the global product and engineering process
• Drive in-country implementation of pilots and subsequent rollouts: site selection, training design and delivery, supervision and mentorship systems, data collection protocols, and learning loops back into product iteration
• Works openly, sharing findings, flagging blockers, and documenting decisions in ways the broader team can act on
• Coordinate evaluations and research, including retrospective validation studies, prospective pilot evaluations, and partner research collaborations; work closely with CHAI Global and academic partners on study design, data requirements, and timelines
• Engage clinical stakeholders alongside CHAI country leadership and departments, including Ministry of Health clinical and digital health leads and directorates, professional bodies, training institutions, and frontline providers
• Ensure the integrity of clinical data feeding into model development, evaluation, and impact measurement — accurate, structured, traceable, and protective of patients
• Track and report on clinical and implementation progress against initiative milestones and quality indicators
• Travel internationally as needed (10–25% annually) and regularly within country to support pilot sites and partner engagement
• Undertake other responsibilities as needed at the request of the Associate Director or Senior Manager, AI Health Systems, or senior CHAI leadership across global and country teams

• Demonstrated experience in one or more of the following: AI in healthcare, health informatics, health technology implementation science, quality improvement, or diagnostic devices
• Demonstrated ability to scope clinical, user, and workflow requirements for technology products in real-world clinical settings
• Track record of working at pace, constructively surfacing concerns and solutions, and gelling with cross-functional teams
• Self-motivated, able to independently deliver expected tasks and work effectively within a team
• Strong written and oral communication skills in English, including the ability to translate clinical and contextual detail into precise written requirements, evaluation protocols, and progress narratives
• Comfort with field implementation work, including time spent in primary care facilities and with frontline providers
• Participate in documentation and dissemination of lessons at conferences, technical working groups, and government meetings
• Willingness and ability to travel internationally (10–25% annually) and regularly within country
• Amharic language proficiency

Preferred Qualifications

• Medical doctor, nurse, or midwife with active or recent clinical credentials
• Obstetrics or midwifery experience
• Prior implementation experience with diagnostic devices or clinical decision support tools
• Familiarity with AI/ML product evaluation frameworks, including disaggregated performance evaluation across clinical conditions and population subgroups
• Experience contributing to validation studies, IRB/ethics review processes, or peer-reviewed publication
• Experience with EMR or health information system rollouts

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