Environment & Health Data Scientist, Lead Poisoning Prevention Program (India Posting)

Vital Strategies is seeking an Environment & Health Data Scientist for its Lead Poisoning Prevention Program in New Delhi, India. The role involves developing integrated data systems to inform public health policies across Asia, Africa, and Latin America. Responsibilities include creating tools for data integration, supporting country teams, and collaborating with governmental agencies. The position offers a competitive salary and benefits to support employee well-being.
Environment & Health Data Scientist, Lead Poisoning Prevention Program (India)



Vital Strategies India Services Private Limited, with a registered office in New Delhi, is a social enterprise that provides technical and management consultancy services to address the leading causes of death, disease, or injury and improve health outcomes. It seeks to provide innovative, cost-efficient solutions to global clients that are locally relevant, effective, and enduring by pursuing high-value partnerships and leveraging India’s high-quality human capital and technology advantage.





Lead Poisoning Prevention Program:


Vital Strategies is expanding our program that addresses the issue of lead poisoning in low- and middle-income countries. We plan to build upon existing efforts and interest by collaborating with governmental agencies in countries in Africa, Asia, and Latin America to strengthen health systems and build local expertise in childhood lead exposure to enact sound, cost-effective policies to address exposures.


Job Purpose:


The Environment and Health Data Scientist, Lead Poisoning Prevention Program, will serve as the data science specialist supporting the development of integrated data systems to inform public health planning and policy in countries in Asia, Latin America, and Africa. This position will develop tools and guidance and support country teams to develop data platforms that integrate information on health, the environment, and populations to understand lead exposure risk. This position will be responsible for developing toolkits and facilitating local adaptation of these tools to identify the proper host for the data platform, inventory relevant data sources, manage and align datasets, analyze, visualize, and automate datasets, provide support for the selection and oversight of local data systems contractors and consultants, and support data integration efforts across systems. Beyond technical work, the role will work closely with global teams and governments to facilitate data sharing and integration.


The salary range for this position is INR 19,77,500 to INR 27,50,000 complemented by a strong retirement plan, flexible basket reimbursement options, comprehensive healthcare coverage, and paid leave — ensuring our people feel supported, valued, and empowered to thrive both professionally and personally.





Duties and Responsibilities:


Data Integration and Analysis -

Develop tools to identify and inventory global and local health data systems as well as data sources across multiple sectors and ministries;Review and summarize models and options of existing effective integrated environment or health data systems for countries to consider;Work closely with epidemiologists and country teams to develop global and country-specific indicators and indices related to lead exposure risks;Provide technical support and guidance for the country team to access, align, and integrate health, environmental, social, economic, and demographic data from Ministries of Health, Ministries of the Environment, and other governmental and nongovernmental agencies;Develop a model metadata tool for national data systems;Support the design and maintenance of analytical datasets, reports, health panels, dashboards, and visualization tools (e.g., Power BI, Excel, R Markdown, or Tableau) for internal and external use;Define database structures, relationships, and workflows to ensure efficient integration, storage, and retrieval of blood lead level (BLL) and related epidemiological, demographic, and environmental data;Provide guidance to country teams to evaluate data quality, completeness, and consistency; perform data cleaning and validation;Collaborate with Ministries of Health, Ministries of the Environment, and other governmental and non-governmental agencies to align architecture standards with existing health information systems and environmental systems (e.g., SINAN, SIASUS, SISOLO, SISAGUA).
Stakeholder Engagement -

Work in collaboration with other international NGOs that are part of the Lead Poisoning Prevention Initiative that work with institutions that may hold relevant data;Work with appropriate authorities and stakeholders across sectors to build and maintain awareness of broader lead-related initiatives;Coordinate with all key stakeholders to ensure regular and timely communication and progress of program activities;Participate in technical discussions and working groups to contribute and inform program progress;Communicate results effectively to technical and non-technical audiences, including health officials, laboratory teams, health workers, and policymakers.
Technical Support -

Provide analytical and methodological guidance to country teams related to data system development and maintenance;Assist in the formulation of national strategies and action plans on data integration;Support training sessions and workshops related to data integration and surveillance;Contribute to capacity strengthening efforts to enhance local analytical competencies.
Program Implementation and Coordination -

Collaborate with global teams to monitor and report the progress of the implementation of data integration;Support the planning and coordination of data collection, data flow, and information management processes;Contribute to the dissemination of findings through technical presentations, meetings, and publications;Ensure timely delivery of analytical outputs aligned with project milestones and government reporting needs;Assist with other duties assigned by the supervisor.
Qualifications:


Education -

Master’s degree in computer science, data science, information technology, statistics, public health, or related field.
Skills and Abilities -

Proficiency in defining database structures, relational schemas, and workflows for complex multi-sectoral datasets (health, environmental, demographic).Ability to align data architecture standards across disparate governmental information systems (e.g., SINAN, SIASUS).Strong quantitative and analytical skills with attention to detail and accuracy;Excellent communication and visualization skills to present complex data clearly;Ability to collaborate with epidemiologists to translate health risks (e.g., lead exposure) into measurable global and country-specific indices.Ability to navigate relationships with diverse stakeholders, including Ministries of Health, Ministries of the Environment, NGOs, and laboratory teams.Ability to communicate analytical results to technical experts and non-technical policymakers.Ability to provide analytical guidance to field teams regarding data system maintenance and strategy.Experience in facilitating training sessions and workshops to enhance local technical competencies.Skill in contributing to the formulation of national-level action plans and implementation strategies for data integration.High level of initiative, organization, and problem-solving ability;Professional proficiency in English (oral and written).Ability to work collaboratively in multidisciplinary and multi-cultural teams and experience working in government environments is a plus;
Experience:


Required -

Minimum 6 to 7 years of professional experience in computer science, data science, information technology, data analysis and/or health surveillance applied to public health or environmental health;Experience in managing and analyzing large data sets or health surveillance datasets;Experience working with government health or environmental departments;Experience in using software to warehouse data and create data visualization and dashboards (e.g., Microsoft Azure or Fabric, SQL-Server, Power BI, Tableau, Shiny);Experience working with statistical software such as R, SAS, SPSS, Stata.
Preferred -

Experience working with global, regional, and large-scale national;Health information systems (e.g., DHIS2) and with cross-sectoral datasets;Experience in systematic toolkit development and capacity building;Familiarity with geospatial data and spatial analysis tools (QGIS, ArcGIS);Advanced proficiency in R, Python, and/or SQL;Experience in applying AI tools to quantitative data;Experience working in partnership with governmental institutions and international organizations
Working Conditions and Physical Requirements:


This is a full-time position based in our India office, following a hybrid schedule that requires four days per week in the office. The candidate must have authorization to work legally in India at the time of hire. The role includes regular collaboration with colleagues and stakeholders across different time zones and will require availability to travel internationally to attend meetings with partners or participate in field activities.


Additional Information:


As a two-time Great Place to Work® certified organization, Vital Strategies India is proud to foster a culture rooted in respect, collaboration, integrity, and inclusion. We welcome applications from individuals of all backgrounds and do not discriminate on any basis protected by country or local laws.


We are committed to maintaining a professional environment where everyone is treated with dignity and where safeguarding is paramount — we uphold zero tolerance for sexual harassment, exploitation, or abuse, and thoroughly vet all final candidates.


The salary range for this position is competitive, and complemented by a strong retirement plan, flexible basket reimbursement options, comprehensive healthcare coverage, and paid leave — ensuring our people feel supported, valued, and empowered to thrive both professionally and personally.





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