Overview:
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 majority of our staff based in program countries.
The William J Clinton Foundation (WJCF) is an Indian not-for-profit entity, registered under Section 8 of the Indian Companies Act 2013 and has an affiliation agreement with the Clinton Health Access Initiative (CHAI). WJCFs mission is to save lives and improve health outcomes in the country by enabling the government and private sector to strengthen and sustain quality health systems. WJCF has been working closely with the Ministry of Health & Family Welfare, and Departments of Health at the state level since 2007 providing technical as well as operational support to various programs such as COVID-19 disease, hepatitis, HIV/AIDS, tuberculosis, vector-borne diseases (lymphatic filariasis and kala azar), syphilis, cervical cancer, diabetes, maternal and childhood anemia, immunization, under 5 diarrhea and pneumonia, sexual and reproductive health, Ayushman Bharat Pradhan Mantri – Jan Arogya Yojana (AB PM-JAY) and Ayushman Bharat Digital Mission (ABDM), hypoxemia and oxygen, safe drinking water, sickle cell disease, and climate and health.
Learn more about our exciting work: http://www.clintonhealthaccess.org
Project Overview:
India continues to bear the world’s highest burden of tuberculosis (TB) in absolute numbers. An estimated 350 million people in India are latently infected with TB and 4 million new TB infections occur every year. India has set an ambitious target of eliminating TB by 2025, with the National Strategic Plan 2017–2025 targeting 95% of identified/eligible TB-infected individuals to be initiated on TB Preventive Treatment (TPT). The Community-Based Household Contact Management (CB-HCM) project addresses gaps in TPT coverage.
Position Summary:
The Analyst/Senior Analyst will own the technical and operational backbone of the programme’s M&E system. This is a hands-on, deeply technical role requiring comfort with data systems, survey tool design, dashboard development, and rigorous monitoring protocols, combined with strong communication skills to guide state-level analysts and engage government and donor stakeholders. The role reports to the National M&E Manager.
Responsibilities:
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Lead the design and operationalisation of the programme M&E framework, including coverage estimation approaches that combine population-level secondary data with programme-reported figures to construct modelled indicators
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Design and maintain a structured monthly validation protocol: define the sample frame from government programme registers, develop a reproducible random sampling methodology with a fixed seed, and create assignment workflows that allocate sampled households across calling agents and field staff for ground-level verification
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Build concordance frameworks to systematically compare programme-reported data against validation findings, and translate discordance patterns into actionable programme signals
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Build and maintain programme monitoring databases; conduct regular data cleaning, structuring, and quality checks on government programme data which is often incomplete, inconsistently formatted, or structured for administrative rather than analytical purposes
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Prepare periodic indicator reports, track progress against key coverage targets, and proactively flag data quality issues with recommended corrective actions
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Design and build digital data collection tools including structured survey instruments for field staff and calling agents, using platforms such as Survey Cto, KoboToolbox, ODK, or equivalent, ensuring tools are optimised for low-connectivity field environments
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Develop and maintain online monitoring dashboards to enable real-time tracking of programme indicators at district and state level, with drill-down views for programme management and summary views for donor reporting
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Leverage AI-assisted and low-code tools (such as Claude Code or similar) to build and iterate on data pipelines and analytical workflows, particularly for processing and reshaping messy or non-standard data exports
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Develop the full suite of programme-specific monitoring tools from scratch: validation instruments, supervisory checklists, field activity planners, and coverage outcome trackers
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Conduct pre-intervention coverage estimation across all programme districts by extracting, cleaning, and analysing data from government programme registers, and applying modelling parameters derived from national survey data and prior programme evidence
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Manage parameter comparison analyses once validation data matures, assess whether validated field estimates differ significantly from modelled assumptions, and support decisions on parameter updates applied consistently across time periods for comparability
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Design and run sensitivity analyses to assess the impact of parameter changes on coverage estimates, and clearly communicate findings and their implications to technical and non-technical audiences
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Synthesise programme results and disseminate key learnings through presentations, reports, and briefs for diverse audiences including donors, government partners, and internal teams
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Guide and mentor state-level analysts on M&E tools, data interpretation, sampling protocols, and data quality management, translating complex methodological decisions into practical guidance for field teams
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Conduct periodic field visits to assess data collection quality, verify completeness of records, and troubleshoot implementation challenges on the ground
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Liaise with government programme data system owners to support improvements in data reporting quality and completeness over the course of programme implementation
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Support research design and evaluation activities including study protocols, ethics applications, and SOPs for quantitative and qualitative studies where relevant
Qualifications:
- Bachelor’s or Master's degree in Science, Engineering, Statistics, Public Health, or a related field
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At least 2 years of relevant work experience in data analytics, M&E, research, or a related technical role
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Strong quantitative skills: ability to structure, clean, and analyse messy or incomplete datasets, work with coverage formulas and denominators, and interpret results in context
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Proficiency in Microsoft Excel and PowerPoint; ability to build structured analytical models and clear visualisations
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Experience designing or managing digital data collection tools (Survey Cto, KoboToolbox, ODK, or similar)
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Experience working with AI-assisted tools and low-code environments (e.g. Claude Code, ChatGPT-based code generation) as a substitute or complement to Python/R for data processing tasks
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Ability to work effectively with incomplete, inconsistently structured, or poorly documented government administrative data systems
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Strong written and oral communication skills in English; working proficiency in Hindi
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Ability to manage multiple workstreams under time pressure and work in a fast-paced, limited-structure environment
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Willingness to travel extensively within and outside programme states
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Familiarity with public health concepts, particularly TB, preventive treatment, or household contact management, candidates without this background but with demonstrated ability to rapidly grasp technical concepts are equally encouraged to apply
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Experience working with government programme data systems, including extracting, restructuring, and analysing administrative data that was not designed for research or evaluation purposes
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Prior experience designing reproducible sampling protocols and/or working with field-based validation or audit methodologies
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Working exposure in Python, R, or SQL for data analysis and pipeline development
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Experience building online dashboards (Power BI, Tableau, Google Looker Studio, or equivalent)
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Prior experience in government stakeholder management or supporting national health programme implementation
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Exposure to sampling design, concordance analysis, or validation methodologies
Last Date to Apply: 13th June, 2026
