Associate, Vector Control Forecast

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 maximises 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. CHAI is an Equal Opportunity Employer and is committed to fairness and mutual respect. We value diversity and inclusion, recognising that diverse experience, backgrounds, and culture best advance our mission.

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

• Execute forecasting models using pre‑defined methodologies, tools, and SOPs
• Clean, organise, 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
• 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
• Work closely with the case management workstream to align vector control and case management commodity projections
• Coordinate with internal teams to organise review processes and address feedback from both internal reviewers and external stakeholders
• Collaborate on narrative development
• 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 organised datasets and supporting documentation in line with team standards
• 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 organisational 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, modelling, or applied quantitative analysis
• Familiarity with dashboards or data visualisation tools (e.g., R Shiny)
• Experience supporting analytical projects in a collaborative team environment
• Background in global health or public health (not required)