CDIil y a 22 jours

Associate, Epidemiology & Data Analytics, Malaria, Yaounde, Cameroon

Clinton Health Access Initiative (CHAI)
Cameroun

Description du poste

Associate, Epidemiology & Data Analytics, Malaria, Yaounde, Cameroon Organization: Clinton Health Access Initiative (CHAI) Country: Cameroon City: Yaoundé Office: CHAI Yaoundé, Cameroon 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. Position Summary CHAI Cameroon is seeking a highly motivated and entrepreneurial individual to serve as an Epidemiology & Data Analytics Associate on the Malaria team. The Associate will lead rigorous epidemiological and programmatic analysis, design and implement a robust monitoring and evaluation (M&E) framework and serve as a key technical resource to the PNLP M&E unit. The Associate will generate high-quality evidence to guide programmatic strategy and translate complex data into actionable recommendations for program implementation and policy engagement at the national and subnational levels. The Associate reports to the Cameroon Malaria Program Manager and will provide direct support to all levels of the Ministry of Health and other relevant arms of government. This includes contributing to national strategic plans, in-depth programmatic review, rigorous data analysis, and holistic support to the NMCP. CHAI seeks a candidate with outstanding analytical, problem-solving, organizational, and communication skills who can work independently with a deep personal commitment to producing results. The position requires resourcefulness, tenacity, adaptability, patience, humility, and high ethical standards. The position is based in Yaoundé, with travel to subnational regions as required. Responsibilities Data Analysis & Epidemiology Conduct rigorous epidemiological and statistical analyses of malaria surveillance and program data (e.g., routine HMIS, surveys, operational research) to generate actionable insights. Organize and merge available datasets, assess data quality and suitability for analysis, and apply relevant statistical methods including regression, time series, and other approaches. Analyse geographic and spatial data using GIS software, including descriptive and predictive mapping of malaria burden and intervention coverage. Develop subnational epidemiological situation analyses and malaria burden estimates to guide resource allocation and programmatic prioritization across Cameroon's regions. Synthesize evidence from global and regional literature to inform CHAI and PNLP's technical and strategic decisions. Monitoring, Evaluation & Learning Lead the design and implementation of a comprehensive M&E framework for CHAI Cameroon's malaria program, including performance monitoring plans, indicators, data collection tools, and reporting templates aligned with CHAI and donor requirements. Develop and maintain a program-level performance tracking dashboard to enable real-time monitoring of progress against key milestones and targets. Design and oversee routine data quality assessments to ensure accuracy, completeness, timeliness, and reliability of program data across reporting channels. Coordinate midterm, end-of-project evaluations, and impact assessments including the development of evaluation protocols, data collection instruments, and summary reports. Lead documentation of lessons learned, best practices, and program insights, and disseminate findings to internal and external stakeholders to support continuous learning and adaptive management. Surveillance & Data Systems Support the rollout and monitoring of new and existing surveillance platforms for improved data collection, reporting, management, automated analysis, and visualization. Design, manage, and validate data systems and analytical products, ensuring data quality, integrity, and accessibility for government counterparts and partners. Support the PNLP in strengthening and operationalizing

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