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Advertisement Number: P.Rect./R&D/2026/007
About the Project
The research project “Meeting the Challenge of Urban PHC Systems in India – A Learning Sites Approach”, funded by the Bill & Melinda Gates Foundation, establishes collaborative research partnerships across institutions, with learning sites in Kanpur, Bhubaneswar, and Bengaluru, coordinated through a global hub at University College London (Global Business School for Health).
This project uses a learning site approach across selected Indian cities to generate actionable evidence on the functioning and performance of urban primary health care (UPHC) systems. It examines how key structural and systemic features—such as health market pluralism, local governance arrangements, migrant populations, and climate-related vulnerabilities—shape the delivery of UPHC, with the aim of identifying system-level constraints and informing improvements in service models. The study employs a sequential mixed-methods design, combining literature reviews and site-specific situational analyses with integrated quantitative and qualitative research.
About the Position
We are seeking a Project Executive Officer (Quantitative Researcher) to support the quantitative research component of the project. This is a junior-level research position suited to candidates with strong training in applied quantitative methods and an interest in health systems, public health, or development research. The selected candidate will contribute to data management, statistical analysis, and preparation of research outputs, and will work closely with senior researchers within a mixed-methods and interdisciplinary research team.
About the Team
The selected candidate will report to the India Principal Investigator, Dr Sukumar Vellakkal, Department of Economic Sciences, IIT Kanpur, and will collaborate with national and international researchers from India and the UK.
Responsibilities
- Support quantitative research activities, including literature reviews, data cleaning, management, and statistical analysis using primary and secondary datasets.
- Assist in the analysis of large-scale survey and administrative datasets relevant to urban health systems.
- Contribute to the preparation of tables, figures, technical notes, and analytical summaries for project reports and publications.
- Work closely with qualitative and interdisciplinary team members to support mixed-methods integration.
- Assist in the preparation of presentations, policy briefs, and draft academic manuscripts.
- Participate in team meetings, workshops, and research dissemination activities.
Essential Qualification
- PhD in Economics, Health Economics, Public Health, Statistics, Data Science, Health Policy, or a closely related social science discipline from a reputed institution; or
- Master’s degree in any of the above disciplines with a minimum of two years of relevant research or professional experience;
- Strong training in quantitative research methods.
Relevant Skills and Experience
- Proficiency in statistical software such as Stata, R, Python, or similar.
- Experience working with large secondary datasets (e.g., surveys, administrative, or health system data).
- Familiarity with applied econometric or statistical techniques (e.g., regression analysis, panel data methods, causal inference approaches).
- Ability to document code, prepare reproducible analyses, and present results clearly.
- Prior research or field experience in health, development, or public policy is desirable but not mandatory.
- Publications are desirable but not required.
Compensation and Benefits
- Pay scale: ₹50400 – 4200 – ₹126000 (consolidated), commensurate with qualifications and experience.
- Opportunity to work in a rigorous, collaborative research environment with national and international partners.
- Exposure to large, multi-country research collaborations and policy-relevant research.
Duration of Appointment
- The post is purely temporary and contractual.
- Appointment is for up to two years, initially for one year, with renewal subject to satisfactory performance.
The department reserves the right to set appropriate shortlisting criteria. Shortlisted candidates will be informed of interview details via email.
Application Process
Interested candidates should apply by completing the Google form and uploading a CV detailing their qualifications and experience, along with copies of relevant certificates:
https://forms.gle/yGWf4X2RF5LZr3gZ7
The last date for submitting an application is January 20, 2026.
Dr. Sukumar Vellakkal
Associate Professor
Department of Economic Sciences
Indian Institute of Technology Kanpur – 208016
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