Data Analyst

PANPREP- Dr. Cyrus Poonawalla Centre for Infectious Diseases and Pandemic Preparedness at IIPHH embodies the Institute’s commitment to advancing infectious disease research. The Centre aims to serve as a hub for interdisciplinary collaboration, innovation, and translation of scientific knowledge into practical health solutions. It will bring together researchers, healthcare professionals, and young scientists to drive pioneering studies, adopt cutting-edge technologies, and strengthen India’s capacity to prevent and manage infectious diseases of global concern. Key focus areas include Infectious diseases, zoonoses, antimicrobial resistance, air and water pollution, vector-borne diseases, and climate-health interactions as well as cross-cutting themes with focus on One Health: Health systems strengthening, pandemic preparedness, disease surveillance, data sharing, community engagement, and intersectoral coordination.

A. Data Management and Analysis

• Collect, clean, and validate datasets ready for statistical and/or qualitative analysis.
• Analyse data to support development of predictive and risk assessment models to identify potential outbreak hotspots and estimate disease burden.

B. Reporting and Visualization

• Develop analytical and summary reports highlighting data-driven trends, patterns, and insights.
• Support development of interactive dashboards (e.g., Power BI, Tableau) for real-time data visualization and decision-making support.
• Prepare visual and written communication materials translating complex data into actionable insights for public health authorities and stakeholders.
• Generate periodic feedback reports to local and regional partners on data completeness, quality, and accuracy.

C. Academic and policy writing

• Contribute to study protocols, technical reports, and project documentation.
• Provide analytical support to research teams and collaborators for ongoing studies and surveillance activities.
• Contribute to peer-reviewed manuscripts, policy briefs, and dissemination materials based on project findings.

Essential:

• Master’s degree in Statistics, Biostatistics, Epidemiology, Public Health, or another quantitative discipline. Candidates with a Bachelor’s degree and significant relevant experience may also be considered.

Essential:

• 3-5 Years
• Data cleaning, validation, and management.
• Statistical analysis using R, Python, STATA, or SAS or Qualitative softwares Nvivo, ATLAS, Dedoose
• Experience preparing qualitative or quantitative analytical reports and/or data visualizations (Power BI/Tableau).

Desirable

• Experience developing predictive or risk assessment models.
• Experience preparing manuscripts, policy briefs, or technical reports.
• Experience in disease surveillance, One Health or other Centre’s key focus areas.

Please note that the Annual Salary (CTC) will be up to Rs 6,00,000 per year. Other benefits will be as per the institute’s policy and based on the candidate’s skills.

Interested and eligible candidates are requested to fill the application form:

https://docs.google.com/forms/d/e/1FAIpQLSfJNC5x-HP71hAtw2zYV66qVoI8j1wxoAvttt7Ec6GWXLtY1A/viewform?usp=header

Only Shortlisted Candidates will be Contacted for the interview

Last Date of Receipt of Applications: 15 November 2025

Remarks:

• Candidates should have an excellent academic record, good communication skills, a commitment to high quality graduate / post-graduate education.
• Mere eligibility will not entitle any candidate for being called for interview.
• Persons employed in Government/Semi-Government Organization or Educational Institutions in India must apply through proper channel.
• IIPHH reserves the right to fill or not to fill any or all available positions.
• The requirements of minimum qualification and/or experience may be relaxed in the case of candidates with outstanding credentials.
• No correspondence will be entertained from candidates regarding any delays, conduct & result of interview and reasons for not being called for interview.

“IIPHH reserves the sole right to alter/modify/cancel the entire selection process or the position or the vacancy or to disqualify any candidature at any stage of the selection process”.

Women are encouraged to apply!