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 in conjunction 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 skillsets and life experiences. CHAI is deeply grounded in the countries we work in, with 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.

Health Facility Solar Electrification Overview

In 2010, CHAI launched a vaccine program to reduce morbidity and mortality associated with vaccine preventable diseases by improving access to immunization services in low- and middle-income countries (LMICs). One of the core pillars of this program was improving the availability and functionality of cold chain equipment (including solar-powered options) to increase the reach of cold chain networks and make substantial gains in vaccine equity.

Recently, CHAI has expanded the scope of this work to include solarization of the full health facility to further enhance patient impact. Today, over 25% of primary health facilities in sub-Saharan Africa report having no access to power. This results in reduced operating hours, poor staff retention, limited service provision, and unsafe environments for night-time deliveries; all of which contribute to unnecessary morbidity and mortality. A clean energy source that is increasingly fast and affordable to deploy, health facility solarization can have an outsized impact on the quality and availability of service delivery in LMICs.

Health Facility Solar Electrification (HFSE) is at a critical juncture as it transitions from small-scale pilots to broader initiatives aiming to solarize tens of thousands of facilities in sub-Saharan Africa by 2025. As a result, there is need to conduct global and country-level research to generate an evidence base that will contribute toward strengthening HFSE strategic planning, implementation, and long-term sustainability.

Position Overview

CHAI is seeking an individual to support the HFSE ecosystem data analysis and synthesis, as well as develop PowerPoint outputs for the ecosystem analysis in multiple sub-Saharan African countries. Specifically, they will coordinate the qualitative data coding as well as synthesizing the results of the data coding.

This is a short term opportunity. We are seeking an individual who is available for a full-time opportunity for 2-3 months who can work independently and keep to deadlines. The candidate must have deep personal commitment to producing high-quality results and outputs and have the ability to work in a challenging and multi-cultural professional environment. This individual may work remotely within the United States or be based in a program country, pending leadership approval.

Data Analysis & Synthesis

• Support country and global teams in theme coding for the HFSE ecosystem analysis data
• Support country and global teams to summarize and synthesize qualitative results for the HFSE ecosystem analysis
• Provide input in the drafting of country specific donor outputs for the HFSE ecosystem analysis

Team participation

• Engage in regular team discussions to link CHAI’s objectives in HFSE ecosystem analysis to the broader HFSE activities and plans

• Graduate degree with 1-2 years of work experience in a fast-paced environment
• Strong experience in conducting qualitative research and analysis
• Experience working with diverse teams and projects
• Strong problem-solving skills and analytical capabilities
• Excellent oral and written communication skills, including ability to create persuasive presentations and written reports
• Ability to handle multiple tasks simultaneously, set priorities, and work independently
• Strong organizational abilities
• Proactive, adaptable, and comfortable interpreting information across different country contexts

Advantages

• Preference for those with qualitative data analysis software such at Dedoose, Nvivo and Atlas.ti
• Knowledge of CHAI and its in-country functions
• Previous experience working in public health
• Previous experience conducting primary or secondary research in developing countries
• Knowledge of energy/solar market, health systems strengthening, and/or health financing