Epidemiological Data Analyst

Job Advertisement

Position Title: Epidemiological Data Analyst
Location: Rwanda
Country: Rwanda
Deadline Date:

Job Details

Job Posting Organization:
The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization founded in 2002, primarily in response to the HIV/AIDS epidemic. Its mission is to save lives and reduce the burden of disease in low- and middle-income countries by supporting governments and the private sector in creating and sustaining high-quality health systems. CHAI operates in over 40 countries and employs a diverse team of enthusiastic individuals with a wide range of skills and experiences. The organization has expanded its focus beyond HIV to include infectious diseases like COVID-19, malaria, tuberculosis, and hepatitis, as well as non-communicable diseases such as cancer and diabetes. CHAI emphasizes sustainable impact at scale, ensuring that solutions are government-led and designed for national scalability, while sharing learnings globally. The organization values diversity and inclusion, recognizing that its mission is best advanced by the contributions of individuals with diverse backgrounds and experiences.

Job Overview:
CHAI is seeking a highly motivated individual with strong analytical and epidemiological skills to lead the design, development, and maintenance of dashboards for epidemiological analyses using R Shiny software. The role involves acquiring, processing, and analyzing multiple datasets, including geospatial data, and building user-friendly dashboards. The individual will collaborate closely with CHAI team members, academic partners, and other stakeholders to design methods, interpret outputs, and communicate results effectively through data visualization. This position is crucial for supporting the epidemiological team projects and ensuring that the analytical tools developed are robust and user-friendly.

Duties and Responsibilities:
The duties and responsibilities for this position include leading the design, development, and maintenance of interactive dashboards using R Shiny to present forecasts of malaria metrics and commodities. The individual will support malaria country epidemiological teams by developing user-friendly scripts for analyses and integrating diverse data sources into R Shiny applications. Responsibilities also include performing data wrangling, cleaning, and transformation to prepare datasets for visualization, customizing dashboards with CSS and HTML, and collaborating with epidemiologists and analysts to ensure user-friendly and scalable outputs. The role requires conducting statistical and spatial analyses to support malaria technical teams, translating technical findings for a general audience, and synthesizing results for communication through high-quality data visualizations, presentations, reports, and publications. Additionally, the individual will develop and maintain strong working relationships with CHAI team members and partners, and undertake any other tasks as required in the role.

Required Qualifications:
The required qualifications for this position include a Bachelor’s or Master’s degree in a relevant quantitative discipline such as Epidemiology, Biostatistics, Data Science, or a related field. Candidates should have a minimum of 3 years of working experience and high proficiency in a statistical programming language such as R or Python. Proven experience in developing dashboards and web applications, preferably using R Shiny, is essential. Candidates should possess superb creative problem-solving skills, high levels of proficiency in Microsoft Office applications, and the ability to work independently in remote and unstructured settings. Strong enthusiasm for applying research methods and effectively communicating outcomes to solve global health problems is also required, along with exceptional data visualization, written, and oral communication skills. A willingness to travel up to 20% of the time is necessary.

Educational Background:
Candidates must have a Bachelor’s or Master’s degree in a relevant quantitative discipline such as Epidemiology, Biostatistics, Data Science, or a related field. This educational background is crucial for understanding the analytical and statistical methods required for the role.

Experience:
The position requires a minimum of 3 years of working experience in a relevant field. This experience should include proficiency in statistical programming and dashboard development, as well as familiarity with epidemiological analyses and data visualization techniques.

Languages:
While the job description does not specify mandatory languages, proficiency in English is likely essential given the international nature of the organization and its work. Additional language skills may be advantageous, particularly in the context of working with local stakeholders in Rwanda.

Additional Notes:
The position is based in Rwanda and may involve travel up to 20% of the time. CHAI is an Equal Opportunity Employer and is committed to providing a fair and respectful work environment. The organization values diversity and inclusion, recognizing that a diverse workforce enhances its mission and effectiveness.