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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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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