Overview:
WJCF is an Indian non-profit organisation committed to saving lives by reducing the burden of disease and strengthening government-owned, high-quality health systems. Since 2007, WJCF has combined data-driven approaches and deep public health expertise with strong government partnerships to design, implement, and scale solutions across India’s national and state health programmes. We work for and at the service of governments — supporting the Ministry of Health & Family Welfare and State Departments of Health to build systems that are strong, sustainable, and led by Indian institutions.
As an Indian organisation, WJCF brings an unmatched depth of contextual understanding of India’s health system architecture, policy landscape, and implementation realities across diverse geographies and population groups. This local institutional credibility, combined with global technical rigour, is central to WJCF’s effectiveness as a partner to governments and donors.
Our work is built around four complementary roles: as a Trusted Government Partner, co-designing programmes and strengthening health system architecture; as an Operational Partner, translating strategies into effective on-the-ground delivery; as a Market Shaper, improving the availability and affordability of health commodities; and as an Ecosystem Catalyst, convening governments, development partners, academia, and the private sector to drive solutions at scale.
WJCF’s programme portfolio spans thematic areas like hepatitis, HIV/AIDS, tuberculosis, vector-borne diseases, syphilis, cervical cancer, diabetes, maternal and childhood anaemia, immunisation, under-5 diarrhoea and pneumonia, sexual and reproductive health, Ayushman Bharat Pradhan Mantri – Jan Arogya Yojana (AB PM-JAY), Ayushman Bharat Digital Mission (ABDM), hypoxemia and oxygen, safe drinking water, sickle cell disease, presbyopia, lead poisoning, and cross cutting thematic areas like AI and Health, integrated disease surveillance and climate and health.
We currently support programmes across 19 states and union territories, with teams working at national, state, district, and sub-district levels.
Our people are our greatest asset. WJCF brings together a talented, diverse team of professionals from public health, analytics, consulting, healthcare, the development sector, and academia, all united by a shared commitment to improving health outcomes for the people of India. We are entrepreneurial, action-oriented, and deeply grounded in the communities and systems we work in. Our field teams collectively bring hundreds of years of experience managing public health programmes across the country.
WJCF collaborates with a range of international and domestic partners and donors to advance its mission, including an affiliation with the Clinton Health Access Initiative (CHAI), a global health organisation with which WJCF shares a common mission and values.
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: 2nd August, 2026
