Overview The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to 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 to drastically reduce the price of life‑saving drugs and increase access to these medicines in high‑burden countries. Over two decades, CHAI expanded its focus beyond HIV to include COVID‑19, malaria, tuberculosis, hepatitis, cancer, diabetes, hypertension, and other non‑communicable diseases, as well as vaccinations, maternal and child mortality reduction, malnutrition combat, and assistive technology access. We invest in horizontal health‑system strengthening through human resources, digital health, and health financing programs. Our strategy maximizes sustainable, scalable impact, ensuring government leadership, national design, and global learning.
At CHAI, our diverse people are our greatest asset. We are a highly diverse, enthusiastic team across 40 countries, with most staff based in program countries. Learn more: http://www.clintonhealthaccess.org.
CHAI is an Equal Opportunity Employer and is committed to fairness and mutual respect. We value diversity and inclusion, recognizing that diverse experience, backgrounds, and culture best advance our mission.
Overview Of The Role CHAI seeks a highly motivated Vector Control Forecast Associate to support global forecasting analyses for malaria vector control commodities—specifically insecticide‑treated nets (ITNs) and indoor residual spraying (IRS) insecticides. This fixed‑term, 12‑month position covers a maternity leave. The role focuses on data analysis, model execution, and output generation using pre‑developed forecasting tools, methodologies, and SOPs. The Associate will help produce 5‑year demand projections and contribute to two annual forecast cycles. Working with senior team members, the Associate will run analyses, validate outputs, and incorporate feedback promptly. Over the year, there is scope to take greater ownership of analytical processes and deepen engagement with global partners. We value resourcefulness, humility, strong work ethic, and a willingness to learn. The ideal candidate has solid analytical skills, proficiency in Excel and R, and can communicate outputs clearly and concisely. This role offers an early‑career professional a meaningful entry into global health analytics with real growth opportunities.
Responsibilities Data Analysis and Model Execution
Execute forecasting models using pre‑defined methodologies, tools, and SOPs
Clean, organize, and validate datasets used in forecasting analyses
Generate demand projection outputs for ITN and IRS commodities
Conduct scenario and sensitivity analyses under senior team guidance
Forecast Development
Complete 5‑year vector control demand projections across two annual forecast cycles (main forecast and scenario update)
Review all outputs for consistency and accuracy before stakeholder review and dissemination
Contribute to forecast slide decks and supporting materials for Steering Committee presentations and manufacturer webinars
Develop supporting materials for forecast result presentations aimed at key stakeholders, including the Steering Committee, manufacturers, and global partners
Support the team in addressing questions from manufacturers and other partners
Cross‑Team Coordination
Work closely with the case management workstream to align vector control and case management commodity projections
Coordinate with internal teams to organize review processes and address feedback from both internal reviewers and external stakeholders
Collaborate on narrative development
Data Management and Methods Documentation
Compile and update data inputs from internal teams and external partners
Track and document changes to key assumptions, model inputs, and methods across forecast cycles
Document methods for the scenario update cycle, incorporating changes identified through ongoing monitoring
Maintain organized datasets and supporting documentation in line with team standards
Dashboard and Quality Control
Provide forecast numbers for dashboard upload and review vector control forecast dashboards to ensure accuracy
Follow established SOPs and quality control protocols throughout all analysis stages
Support consistency between methods, outputs, and dissemination materials
Qualifications
Bachelor’s degree required (e.g., economics, statistics, mathematics, data science, public health, or related field), with at least 1–2 years of experience in data analysis, consulting, research, or a similar analytical role
Strong proficiency in Microsoft Excel and PowerPoint (required)
Demonstrated experience with analytical tools in R
Strong organizational and time‑management skills, with the ability to manage multiple tasks and meet deadlines
Ability to manage increased workload intensity during forecast publication cycles
Strong quantitative and problem‑solving skills
High attention to detail and commitment to data accuracy
Ability to follow structured methodologies and work effectively within existing model frameworks
Clear and concise communication skills, written and verbal in English
Ability to work effectively both independently and as part of a multidisciplinary team
Strong work ethic, integrity, and willingness to learn in a fast‑paced environment
Advantages
Experience working with large datasets or data cleaning pipelines
Exposure to forecasting, modeling, or applied quantitative analysis
Familiarity with dashboards or data visualization tools (e.g., R Shiny)
Experience supporting analytical projects in a collaborative team environment
Background in global health or public health (not required)
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