Career Openings at Clinton Health Access Initiative

Responsibilities

• Provide technical assistance and monitoring support to public health activities focused on innovative case finding and surveillance for TB, Asthma, COPD and other respiratory diseases.
• Offer technical guidance on planning, scaling, and monitoring of Active Case Finding (ACF), Intensified Case Finding (ICF), workplace screening, and other targeted interventions for high-risk and vulnerable populations.
• Support the design and implementation of workplace-based screening initiatives in collaboration with employers, industry associations, and occupational health programs, to enhance early detection and linkage to care.
• Facilitate innovative partnerships with the private sector—including corporate social responsibility (CSR) initiatives, diagnostic networks, and health insurance schemes—to expand access to quality screening and diagnostics for respiratory diseases.
• Assist in developing a detailed framework and micro-plans for ACF activities at community and workplace levels, in coordination with other programs, departments, and stakeholders.
• Provide insights into screening and diagnostic algorithms, including integration of newer near point-of-care and high-throughput diagnostics within ACF and workplace screening workflows.
• Support the development and implementation of clinical, diagnostic, and case management systems, tools, and protocols for patient monitoring, follow-up, and retention—covering both community-based and workplace-based settings.
• Contribute to the monitoring and evaluation framework for ACF, workplace screening, and private sector collaboration performance, including data analysis and generation of actionable insights.
• Document and disseminate best practices, success stories, and lessons learned related to innovative case finding, surveillance, and private sector engagement.
• Extend technical support to Monitoring, Evaluation and Implementation/Operational Research under the guidance of the MoH, focusing on innovative case finding, workplace screening models and public-private collaboration for respiratory health.
• Provide inputs for donor reports, program learning documents, and technical presentations 
• Perform any other duties as assigned.

Qualifications

• A degree in health, economics, business, Health Management/ Epidemiology/Data Analytics in health, mathematics, data, and data science related fields.
• A minimum of 5 years or more experience in an advisory position in public health, as well as technological or digital focused programs at the national or sub-national levels.
• Experience in technology design or deployment for large scale public health programs, including data systems and/or new age AI based tools.
• Experience and familiarity with national digital systems.
• Preferably management consulting experience with government agencies, international organizations, or healthcare institutions.
• Experience in designing M&E tools for monitoring of public health programs.
• Proficient in MS Excel, R,Stata, Power BI or similar software for data analysis.
• Excellent interpersonal skills for engaging with technical, non-technical and leadership staff. 
• Excellent written and verbal communication skills, and ability to ensure messages and communication channels are adapted to different audience/ user needs.

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Responsibilities

Working closely with the Ministry of Health (MoH), partners, and relevant technical working groups or committees, the Associate HIV Prevention Services will:

• Support planning, organization, communication, risk mapping, monitoring, and quality execution of key project activities in line with CHAI’s values and policies.
• Lead the design and implementation of effective tools and methodologies for planning, monitoring, and reporting program impact indicators.
• Develop project-specific log frames and work plans, ensuring that targets are achieved within agreed timelines.
• Support routine analyses of program management data and the development of related tools and processes.
• Provide technical assistance to the Ministry of Health (MoH) and partners in developing operational and strategic plans and policies aligned with CHAI’s priorities.
• Support the implementation of the Long acting PrEP (LA-PrEP) Introduction and Acceleration Plan in collaboration with the MoH and partners, including capacity building and training.
• Facilitate coordination through MoH-led platforms such as the Prevention Task Force and strengthen integration of LA-PrEP into existing HIV prevention interventions.
• Support the development and revision of national guidelines, standard operating procedures, and training materials to incorporate LA-PrEP.
• Conduct and synthesize landscape analyses and site readiness assessments to inform implementation.
• Analyse data on PrEP uptake, service coverage, and demand generation effectiveness to guide program improvements.
• Strengthen routine monitoring, learning, and implementation research processes, including learning collaboratives.
• Build and maintain strong working relationships with government counterparts, international agencies, donors, and NGO partners, ensuring coordinated implementation and communication.
• Engage key population-led organizations and community champions to enhance literacy on LA-PrEP and dispel myths or misinformation.
• Represent CHAI Kenya in national and global forums, promoting exchange of best practices and program learnings.
• Develop and disseminate knowledge products, lessons learned, and progress reports related to LA-PrEP introduction.
• Collaborate with partners to prepare advocacy briefs and other resources that support evidence-based decision-making.
• Support targeted dissemination efforts at national and subnational forums to share progress and key insights.
• Work closely with CHAI’s global and country teams to align prevention efforts and strengthen linkages with broader HIV prevention priorities.
• Identify and assess project risks and challenges, conduct evidence-based analyses, and provide strategic recommendations consistent with CHAI’s principles and stakeholder input.
• Collaborate with program teams to design scalable, sustainable, and impactful program concepts for current and emerging areas.
• Contribute to broader CHAI Kenya initiatives within the Infectious Diseases cluster, with specific focus on HIV and TB programs.
• Perform any other duties as assigned.

Qualifications

We are seeking a highly motivated individual with at least two years’ work experience and the ability to think creatively and work effectively in an entrepreneurial environment. The Associate must be able to function independently and flexibly, solving problems as they arise. This role requires strong relationship management.

• Bachelor’s degree in public health, medicine, nursing, pharmacy, health economics or a related field.
• Proven experience in project management, policy implementation, or stakeholder coordination.
• Strong analytical skills and ability to use data for decision-making.
• Demonstrated ability to navigate complex stakeholder environments and drive consensus.
• Excellent written and verbal communication skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

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The Disease Modelling Specialist will lead technical work to generate Kenya’s first comprehensive national and sub-national estimates of Asthma, COPD, and PTLD. The position will involve a mix of data analysis, model development, stakeholder engagement and evidence translation into actionable policy recommendations. The Disease Modelling Specialist will report to the Senior Director — Infectious Diseases.

Responsibilities

• Conduct a structured review of global and regional methodologies used to estimate the burden of asthma, COPD, and PTLD.
• Summarize methodological options, data requirements, assumptions, and limitations applicable to the Kenyan context.
• Recommend the most appropriate estimation approach for Kenya.
• Model Design and Implementation
• Identify, adapt, or develop statistical/mathematical models to estimate disease burden and prevalence, using available national and sub-national data sources.
• Implement models in reproducible code (such as R or Python), applying best practices in epidemiological modelling and sensitivity analysis.
• Generate scenario-based estimates (e.g., conservative, moderate, and high estimates) and quantify uncertainty intervals.
• Compile and clean relevant datasets, including national and county-level population data, health facility data, national surveys, TB program data, and other relevant epidemiological studies.
• Establish and maintain a data catalogue and documentation system.
• Consolidate datasets for model validation and testing.
• Validate model assumptions and results through stakeholder review meetings and expert consultations.
• Cross-check outputs against comparable international and regional estimates.
• Refine models based on feedback and incorporate validation results into technical documentation.

Produce clear and comprehensive outputs, including:

• A technical report detailing methodology and results.
• Policy briefs and data visualisations summarizing key findings for decision-makers.
• Slide decks and summary infographics for advocacy and dissemination.
• Support the development of advocacy materials to inform resource allocation and program prioritization for asthma, COPD, and PTLD.
• Conduct hands-on training sessions for Ministry of Health and partner staff on model interpretation, data analysis, and maintenance.
• Develop user-friendly documentation and standard operating procedures (SOPs) to enable institutionalisation of the model.
• Develop a detailed work plan and deliverables schedule aligned with program timelines.
• Coordinate regularly with government counterparts, academic partners, and implementing agencies.
• Prepare periodic progress reports, presentations, and technical updates for program leadership.
• Perform any other duties as assigned.

Qualifications

• A degree or higher in Epidemiology, Biostatistics, Public Health, Mathematical Modelling, Health Metrics, Mathematics, Statistics, Computer Science, Health Economics or related field.
• At least 4 years of experience in disease burden estimation, epidemiological modelling, or quantitative health research.
• Demonstrated experience in using and developing models for estimating prevalence, incidence, or disease burden.
• Strong proficiency in statistical software such as R, Python, or Stata.
• Proven ability to manage and analyse large datasets from multiple sources.
• Experience working with ministries of health or public health institutions in low- or middle-income countries.

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Responsibilities

• Support the Ministry of Health and other stakeholders in advancing health financing reforms, including planning, budgeting, resource tracking, and expenditure analysis.
• Conduct quantitative and qualitative analyses to inform resource mobilization, allocation, and efficiency improvement initiatives.
• Contribute to the development and implementation of costed strategic and operational plans, health accounts, investment cases, and financing strategies that promote sustainability, equity, and efficiency in health service delivery.
• Collaborate with government teams to strengthen systems for evidence-based decision-making, including data management, reporting, and use of information for planning and performance monitoring.
• Prepare high-quality presentations, reports, and policy briefs for internal and external dissemination.
• Build and maintain strategic relationships with government counterparts, development partners, and other stakeholders to drive coordination, operational improvements, and policy dialogue.
• Support capacity building of government counterparts in health financing, financial management, and use of data for decision-making.
• Contribute to program work planning, budgeting, monitoring, and reporting for both internal and external audiences.
• Provide technical and coordination support to fundraising and resource mobilization efforts, including proposal development.
• Oversee activity logistics in collaboration with CHAI’s Finance and Operations teams, including preparation of budgets, disbursement of allowances, and ensuring timely liquidation and adherence to CHAI and donor financial policies.
• Ensure effective documentation of lessons learned and best practices, and contribute to continuous program improvement.
• Perform any other related duties and support day-to-day implementation of activities as assigned.

Qualifications

• A degree in health economics, public health, health sciences, public policy, or a health Finance related field.
• Minimum of five years of professional experience, preferably in health systems strengthening, health financing, health economics, health workforce, public health, public policy, public sector finance, consulting, or other relevant experience.
• Knowledge and experience in health systems and health financing, in low- and middle-income countries.
• Experience supporting funding applications for GFATM or other major donors, especially for RSSH, and/or working with their financial management systems.
• Outstanding analytical skills and advanced proficiency with Microsoft Excel and PowerPoint.
• Strategically minded and able to think creatively about long-term program goals and objectives, and the detailed steps necessary to achieve these goals.
• Structured thinker with experience analysing and interpreting complex datasets to identify key trends and to translate them into actionable options for decision-makers.
• Strong diplomatic and interpersonal skills and ability to build strategic relationships with government partners, donors, and other stakeholders.
• Demonstrated ability to deliver excellence in high-pressure situations, set priorities, and adapt to rapidly changing environments.
• Excellent organizational and problem-solving skills without the need for extensive structural or operational support.
• Strong writer, facilitator, and oral communicator, able to distil and explain complex concepts to varied audiences, with demonstrated skills in report and proposal writing.
• Self-motivated and able to lead workstreams with a high degree of independence and autonomy.
• Team player with the desire and capacity to effectively coach others, based on the team’s professional development needs and as assigned by the supervisor.