Overview

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.

Overveiw of program:

CHAI’s global malaria and neglected tropical disease (NTD) program provides direct technical and operational support to countries around the globe to strengthen their programs and reduce the burden of preventable, treatable diseases. We support governments to scale up effective interventions for prevention, diagnosis, treatment, and surveillance, with the goals of sustainably reducing the number of illnesses and deaths worldwide in the short-term and accelerating progress towards elimination of malaria and NTDs in the long term.

Overview of role:

CHAI is seeking a highly motivated individual with public health experience and analytical skills to work with CHAI’s global, regional and country teams, as well as directly with government counterparts, to assess, design, and scale-up disease surveillance systems; conduct robust epidemiological and spatial data analysis; monitor and evaluate the success of ongoing efforts to reduce disease burden and achieve elimination in relevant geographies; and translate results for decision-makers. The individual will collaborate with a diverse team based across multiple countries and regions (primarily but not exclusively in Cambodia, Laos, Myanmar, Thailand, Vietnam and Papua New Guinea), government programs, and public health agencies. The successful candidate will possess strong communication, organizational skills; be imaginative, pragmatic, and innovative in applying epidemiological expertise to improve real-world health programs; work independently to drive implementation; and have deep personal commitment to producing results.

This position will be based in Cambodia and travel is expected up to 30%.

Responsibilities

• Provide direct support to surveillance and analytics workstreams including conducting high-quality epidemiological analyses to evaluate effectiveness of current interventions, understand disease patterns, and inform strategic planning related to malaria within the region
• Perform scientific literature review on relevant topics as needed (e.g., surveillance methods, drivers of malaria transmission, intervention effectiveness)
• Monitor, evaluate, and improve the performance of malaria surveillance processes and platforms, and contribute to the formulation of surveillance guidelines, SOPs and training materials
• Design, implement, analyze, and disseminate operational research projects evaluating program or intervention effectiveness including descriptive and statistical analyses
• Support design and routine implementation of monitoring and evaluation of CHAI and governmental programs
• Organize, clean, and integrate datasets from different sources to aid program monitoring and evaluation and larger analyses
• Formulate and deliver national and sub-national level technical training materials
• Support institutionalization of data reviews at all levels, including the development of data collection tools and dashboards (e.g., Tableau, DHIS2, etc.)
• Provide technical supervision, training and ad-hoc programmatic support to staff members involved in epidemiological activities, for example providing support to analytical content (e.g., data management best practices, online data collection tools) and surveillance strengthening activities (e.g., improved data quality and use)
• Synthesize and disseminate findings to national and sub-national government partners, non-technical partners and CHAI teams to support evidence-based decision making through high-quality presentations, reports, and scientific publications
• Promote the routine use of epidemiological, entomological, and programmatic data and analysis to inform country strategy planning and program implementation
• Represent CHAI at external technical meetings with local academic and technical partners
• Develop and maintain strong working relationships with key stakeholders across government and non-governmental organizations, and academic partners, with support from technical advisor
• Serve as liaison between CHAI regional technical teams, country partners, and stakeholders
• Any other tasks as required

Qualifications

• Master’s in public health, epidemiology or related field, or similar experience
• 1+ years of working experience related to the above responsibilities
• Knowledge of malaria and/or other major global infectious disease problems
• Enthusiasm for applying research methods to solve global health problems focusing on malaria and/or other major global infectious disease concerns
• Experience working with datasets drawn from various sources and requiring cleaning before analysis
• Previous experience conducting statistical and geospatial analysis of health data using R, QGIS, or other software packages (ArcMap, STATA, Python etc.)
• High levels of proficiency in Microsoft Word, Excel, PowerPoint, and internet applications
• Experience working and communicating with government officials and multilateral organizations
• Experience with designing, conducting, and analyzing epidemiological surveys
• Experience in evaluating, working with, and strengthening disease surveillance systems
• Ability to work independently in remote and unstructured settings and to adapt to new environments and challenges, and ability to collaborate and operate as part of a multicultural team
• Experience in working and communicating with government officials and other external partners
• Exceptional written and oral communication skills
• Willingness to travel (up to 30%)
• Fluency in English

Advantages:

• Experience in programming (e.g., Python, JavaScript) and/or working with surveillance platforms (e.g., DHIS2), data collection tools (e.g., ODK) and/or data visualization applications (e.g., Tableau, PowerBi, Metabase)
• Experience living or working in resource-limited settings, especially in Asia
• Burmese, Khmer, Laos, Thai, and/or Vietnamese language proficiency

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