Senior Associate, Market Intelligence

Clinton Health Access Initiative•,

About The Position

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. CHAI works with governments and the private sector to create and sustain high-quality health systems. Founded in 2002, CHAI has expanded its focus from HIV/AIDS to include infectious diseases like COVID-19, malaria, tuberculosis, and hepatitis, as well as non-communicable diseases such as cancer, diabetes, and hypertension. The organization also works to accelerate vaccine rollouts, reduce maternal and child mortality, combat malnutrition, and increase access to assistive technology. CHAI invests in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing, with a strategy grounded in maximizing sustainable impact at scale. CHAI values its diverse team of enthusiastic individuals across 40 countries and is committed to providing equal employment opportunities. The Global Diagnostics Team (GDT) within CHAI works across disease areas and countries to expand access to high-quality, affordable diagnostic services and technologies. The team supports governments and partners in strengthening laboratory systems, improving diagnostic networks, introducing and scaling new technologies, and addressing market, procurement, supply-chain, and health-system barriers. GDT collaborates closely with CHAI country and program teams, governments, donors, manufacturers, procurement partners, and other global health stakeholders, combining technical understanding of diagnostics with market intelligence, quantitative analysis, and practical understanding of procurement and supply-chain dynamics.

Requirements

  • Bachelor’s or advanced degree in a relevant field and 5 years minimum relevant professional experience. Relevant backgrounds may include global health, public health, economics, business, engineering, data science, management consulting, life sciences, or related fields.
  • Demonstrated experience conducting market intelligence or related analytical work — e.g. market sizing, demand forecasting, supplier landscaping, pricing or cost analysis, financial modelling, or commercial analysis.
  • Proven ability to run analytical workstreams independently and end to end, managing priorities, timelines, and multiple stakeholders to deliver on time.
  • Exceptional analytical and problem-solving skills: able to structure ambiguous questions, work with imperfect or fragmented data, challenge assumptions, rapidly learn unfamiliar technical subject, and synthesize diverse sources into robust, decision-ready conclusions.
  • Experience in global health, public health, healthcare, international development, or a related field, with a strong understanding of health systems in low- and middle-income countries and the African context. Demonstrated experience working collaboratively with in-country stakeholders, with the ability to build trusted working relationships, understand local implementation realities, and adapt analytical approaches and recommendations to local context.
  • Strong written and verbal communication skills, with the ability to translate complex analyses into clear, concise, decision-oriented recommendations for technical and non-technical audiences.
  • Ability to work effectively in a fast-paced, multicultural, and geographically dispersed environment, with resourcefulness, intellectual curiosity, humility, and strong ownership; willingness to travel internationally, including within Africa.
  • Willingness to travel (estimated 30-35%).

Nice To Haves

  • Experience with diagnostics, laboratory systems, or other health technologies — including working directly with manufacturers, distributors, procurement agencies, or laboratories — and familiarity with the access and market challenges they face in low- and middle-income countries.
  • Experience in procurement, supply chain, strategic purchasing, supplier analysis, market shaping, pricing, or health commodity markets.
  • Educational or professional background in biology, molecular biology, biomedical sciences, biotechnology, laboratory sciences, or a related life-science discipline.
  • Experience using AI or machine-learning tools to support research, data analysis, automation, or synthesis.

Responsibilities

  • Lead market intelligence and analytical work end-to-end, from defining analytical questions and data requirements through data collection, validation, analysis, synthesis, and development of final reports and presentations.
  • Conduct rigorous quantitative and qualitative analyses using multiple, often incomplete or fragmented data sources, with strong attention to data quality, consistency, assumptions, accuracy, and documentation.
  • Communicate analytical findings clearly and effectively to technical and non-technical audiences, tailoring messages and recommendations to different stakeholders and supporting decision-making through concise, well-structured presentations and written outputs.
  • Partner closely with CHAI country teams and in-country stakeholders to define data needs, collect, triangulate, and validate information, and interpret findings in context; leverage CHAI’s country-level footprint to ensure a strong link between global market intelligence, country demand, laboratory operations, and implementation realities.
  • Translate complex quantitative, technical, market, procurement, and supply-chain information into clear, decision-ready insights and recommendations to improve market visibility, procurement and supply-chain decision-making, and access to diagnostic products and services.
  • Independently manage analytical workstreams, including work planning, timelines, stakeholder follow-up, quality assurance, and delivery of high-quality outputs; engage country teams and laboratories, including through in-country engagement where required, to understand operational challenges and translate analytical findings into practical actions. Apply AI-enabled analytical tools where appropriate to improve the efficiency and quality of research, analysis, and synthesis.
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