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 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.

Cameroon Program Overview

CHAI started working in Cameroon in 2007 with a focus on improving access to HIV diagnosis, care, and treatment. We are helping to increase access to paediatric and second line antiretrovirals, as well as strengthening HIV laboratory systems to better diagnose the disease. Since then, our partnership with the government of Cameroon has evolved to include cross-cutting health system strengthening efforts, including supporting the rollout of universal health coverage. We are also working to strengthen the health product supply chain, introduce and roll out innovative point-of-care technologies and cold chain equipment to ensure the potency and delivery of lifesaving vaccinations. CHAI has also supported the government in its efforts to save the lives of women and infants through mentoring of healthcare workers, increasing access to long-acting contraceptives, and introducing new and improved vaccines for diseases such as cancer-causing human papillomavirus (HPV), rotavirus, diarrhoea, and poliomyelitis.

CHAI is equally supporting the government to improve access to medical oxygen and the national public health laboratory to decentralize COVID-19 testing. In addition, we are collaborating with the Ministry of Public Health (MoH) to improve access to cancer treatment by lowering prices and enabling procurement of key chemotherapy drugs. Furthermore, we are working with the government through its National Malaria Control Program, to build sustainable access to timely and high-quality information across relevant levels of the health system and help programs to routinely use data and generated analytics to inform programmatic and strategic planning and operations.

CHAI has recently launched strategic partnerships with the Cameroon MoH to address persistent gender-based health inequities by strengthening the measurement and use of women’s health data, and strengthen maternal, neonatal, child health (MNCH), sexual and reproductive health (SRH), family planning, diagnostics, supply chains, and health data systems.

This effort responds to critical gaps in Cameroon’s health data ecosystem, where existing systems often fail to capture the intersectional and structural determinants impacting women’s health outcomes. The initiative aims at: (1) developing and piloting of a Women’s Health Equity Index (WHEI), a gender-sensitive, multidimensional tool designed to uncover hidden disparities and inform equitable health planning at national and subnational levels and (2) improving reproductive health outcomes by strengthening diagnostic readiness, supply chains, integrated service delivery, and data systems, (3) supporting data visualization and analysis across.

Ultimately, these projects will equip decision-makers with robust, disaggregated data to support evidence-based planning, resource allocation, and advocacy aligned with Cameroon’s National Health Development Plan (PNDS 2020–2027) on one hand. On the other hand, they concur to Cameroon’s vision to improve universal access to quality health services, articulated in Vision 2035 and operationalized through the National Development Strategy (SND30), prioritizing strengthened health and human capital systems, including the expansion of family planning and improved maternal health outcomes.

Overview of the role

CHAI Cameroon seeks a highly motivated, detail-oriented, and analytical individual to serve as Program Associate, Data Scientist. This is a mid-level technical role supporting CHAI’s data-driven projects, including the Women’s Health Equity Index (WHEI) project and broader efforts under CHAI’s sexual and reproductive health (SRH); maternal, neonatal, and child health (MNCH) and infectious diseases' portfolio. This role combines applied data science with public health implementation, supporting the development of composite indices, diagnostics readiness scorecards, integrated data platforms, and AI-enabled analytics.

The Associate will work under the direct supervision of the Program Manager and collaborate closely with government stakeholders, civil society organizations, and technical partners to support all aspects of data collection, harmonization, index construction, statistical modeling, geospatial analysis, and dashboard development. This role is ideal for someone with strong data and analytical skills, a passion for sexual, reproductive, maternal and child health and a desire to work at the intersection of health, data, and policy.

Data Management & Technical Implementation

• Support the mapping, cleaning, and harmonization of women's health and MNCH/SRH indicators data from multiple data sources (e.g., DHS, DHIS2, census, GBV datasets, LMIS, lab data, surveys), including data quality assessments and identification of proxy indicators where data gaps exist.
• Lead in the design and implementation of the Women's Health Equity Index (WHEI) using statistical techniques such as Principal Component Analysis (PCA) and regression modeling.
• Develop a standardized data collection tool to serve as the central database for WHEI indicators.
• Conduct scenario modeling using ML techniques (e.g., decision trees, Monte Carlo simulations) to evaluate the impact of policy interventions.
• Collaborate with supply-chain and health system teams to develop predictive models and early-warning systems for stock-outs and near-expiry risks using LMIS data, including analysis of supply-chain performance trends and optimization of last-mile delivery parameters.
• Design and optimize data collection tools for infectious diseases (e.g., surveys, health facility reports, mobile apps, etc.).

Diagnostics & Health Systems Analytics

• Support the design, validation, and population of an SRH/MNCH Diagnostics Readiness Scorecard and national diagnostics KPI framework at national and subnational levels, including baseline and periodic updates using structured data pipelines.
• Analyze diagnostics readiness data (availability, functionality, stock-outs, service coverage) for priority SRH/MNCH diagnostics (e.g., HIV, syphilis, hepatitis B, hemoglobin, malaria, ANC tests).
• Analyze links between diagnostics readiness, service delivery, and health outcomes (e.g., ANC coverage, triple testing uptake, family planning use).
• Generate data outputs and align them with national malaria surveillance systems.

Visualization & Dashboarding

• Create geospatial analyses, interactive dashboards, charts, tables, and visual analytics products using tools such as QGIS, Excel, Power BI, and Tableau to visualize subnational disparities and support stakeholder decision-making.
• Contribute to automated and AI-enabled reporting products, including routine bulletins, scorecards, and narrative summaries for program reviews.
• Supporting microtargeting for intervention delivery (e.g., seasonal malaria chemo prevention, bed net distribution).

Documentation & Stakeholder Engagement

• Provide technical support during engagement meetings, co-design sessions, and presentations for government and relevant stakeholders.
• Document technical processes, data pipelines, methodologies, analytical assumptions, and lessons learned.
• Prepare technical briefs, presentations, and evidence products for policy dialogue, donor engagement, and program transparency.

Note: The duties and responsibilities outlined above represent the core functions of this position, but are not exhaustive. The role requires adaptability, and the incumbent may be assigned other relevant tasks and projects as determined by organizational needs, strategic priorities, and supervisory direction.

• Bachelor’s degree in Statistics, Data Science, Mathematics, Data Modelling, Computer Science, or a related field.
• 1–3 years’ work experience in data analysis and data modelling particularly within a public health or related setting.
• Strong proficiency in at least one data analysis software: R, Python, SPSS, or Stata.
• Familiarity with Excel and data visualization tools such as Power BI, Tableau and QGIS.
• Strong knowledge of statistical techniques and interest in equity-focused modeling.
• Excellent organizational, communication, and teamwork skills.
• Fluency in English and working knowledge of French (bilingual is an asset).

Experience:

• Experience working with national health data systems (e.g., DHIS2, LMIS) or large household surveys (e.g., DHS).
• Understanding of Cameroon’s health system, gender issues, or regional disparities.
• Experience producing reports, dashboards, or policy briefs based on data analysis.

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