Research Associate, Malaria Analytics, Surveillance, and Technology at Clinton Health Access Initiative, Inc: (Deadline Ongoing)

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 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.

Overview of role

CHAI is seeking a highly motivated individual with strong analytical and epidemiological skills to lead ongoing work to design, develop and maintain dashboards for epidemiological analyses using R shiny software and to contribute to the development of analytical tools to support our epidemiological team projects. This individual is expected to acquire, process, and analyze multiple datasets, including geospatial data, build and maintain user-friendly and maintainable dashboards, and validate analytical outputs. The individual will work closely with CHAI team members as well as academic and other stakeholders on designing methods, interpretation of outputs, and communication of results through effective data visualization and adaptation of messaging to audiences with a variety of technical backgrounds.

• Lead the design, development and maintenance of interactive dashboards using R shiny to present forecasts of malaria metrics and commodities;
• Support malaria country epidemiological teams with the development of user-friendly scripts to conduct analyses;
• Integrate diverse data sources (e.g., databases, CSVs, geographic data) into R Shiny applications;
• Perform data wrangling, cleaning, and transformation to prepare datasets for visualization;
• Customize dashboards with CSS and HTML to ensure a professional and consistent appearance;
• Collaborate with epidemiologists, analysts, academic partners and other stakeholders to ensure the dashboards and scripts are user-friendly, scalable and maintainable;
• Conduct statistical and spatial analyses (descriptive analyses, regressions and other relevant methods) to support malaria technical teams;
• Translate highly technical findings for a general audience less familiar with statistical methods;
• Synthesize results and communicate them through high-quality data visualizations, presentations, reports, and publications to internal and external audiences of a variety of technical backgrounds;
• Develop and maintain strong working relationships with relevant CHAI team members, academic institutions, and other partners;
• Any other tasks as required in the role.

• Bachelor’s or Master’s degree in a relevant quantitative discipline e.g. Epidemiology, Biostatistics, Data Science, or a related field;
• Minimum of 3 years working experience;
• High proficiency in a statistical programming language such as R or Python;
• Proven experience in developing dashboards and web applications, preferably using R Shiny, but other relevant platforms may be considered;
• Superb creative problem-solving skills and analytical capabilities;
• High levels of proficiency in Microsoft Word, Excel, PowerPoint, and internet applications;
• Ability to work independently in remote and unstructured settings and to adapt to new environments and challenges;
• Enthusiasm for applying research methods and communicating outcomes effectively to solve global health problems;
• Exceptional data visualization, written, and oral communication skills;
• Willingness to travel (up to 20% of time).

Advantages

• Knowledge of malaria and/or other major global infectious disease problems;
• Experience working and communicating with government officials and multilateral organizations;
• Experience living or working in resource-limited settings;
• Experience working with a decentralized team;
• Familiarity with HTML and CSS would be an advantage;
• Familiarity with integrating data sources such as SQL databases, APIs, and cloud services into R Shiny apps.

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