Applied AI Associate (Public Health)
Job Description
Job Posting Organization:
WJCF is an Indian non-profit organization established in 2007, dedicated to saving lives by reducing the burden of disease and strengthening government-owned, high-quality health systems. With a mission to improve health outcomes for the people of India, WJCF combines data-driven approaches and deep public health expertise with strong partnerships with government entities. The organization operates across 19 states and union territories in India, employing a diverse team of professionals from various sectors including public health, analytics, and academia. WJCF collaborates with international and domestic partners, including the Clinton Health Access Initiative, to advance its mission and enhance the effectiveness of health programs.
Job Overview:
The Applied AI Associate (Public Health) position is a hands-on role within the Health Analytics and AI Unit (HAAU) at the National Health Authority (NHA). The individual will leverage their understanding of public health and applied AI to translate the NHA's programmatic priorities into technical requirements and solutions. This role involves developing and operationalizing pipelines and tools for data structuring, validation, and AI-assisted analytics. The associate will work closely with programmatic and health-financing teams to ensure that analytical designs are effectively turned into working systems, contributing to the enhancement of India's flagship health protection and digital health programs.
Duties and Responsibilities:
The Applied AI Associate will be responsible for translating programmatic priorities into clear technical requirements, preparing data for analytics, and building operational pipelines that ensure scalability and reproducibility. Key duties include developing workflows for AI-assisted data structuring, creating anonymization pipelines compliant with the Digital Personal Data Protection Act, supporting the development of natural-language querying capabilities, and applying model-monitoring practices. The associate will also be expected to perform other responsibilities as assigned by WJCF and NHA leadership, ensuring that all tools and systems are built with a focus on quality and compliance with relevant regulations.
Required Qualifications:
Candidates must possess a Bachelor's or Master's degree in computer science, data science, statistics, public health, or a closely related field. A minimum of 5 years of experience in building machine learning and AI systems is required, with a proven track record of taking projects from prototype to production. Hands-on experience with evaluating and benchmarking AI systems, as well as familiarity with large-scale data processing and public health data, is essential. Proficiency in Python and SQL is mandatory, along with strong analytical and communication skills.
Educational Background:
The position requires a Bachelor's or Master's degree in a relevant field such as computer science, data science, statistics, or public health. This educational background is crucial for understanding the technical and analytical aspects of the role, as well as the public health context in which the associate will operate.
Experience:
The ideal candidate should have at least 5 years of experience in the field, specifically in building and maintaining machine learning and AI systems in a production environment. Experience with model evaluation, data processing, and public health analytics is highly desirable, as is familiarity with operational integration of model outputs and cloud ML platforms.
Languages:
Fluency in English is mandatory for this position. Additionally, fluency in Hindi or another Indian language is considered an advantage, as it may facilitate communication within diverse teams and with stakeholders in the public health sector.
Additional Notes:
This position is based in New Delhi and is a full-time role. The last date to apply for this position is 9th September 202
WJCF is an Indian non-profit organization established in 2007, dedicated to saving lives by reducing the burden of disease and strengthening government-owned, high-quality health systems. With a mission to improve health outcomes for the people of India, WJCF combines data-driven approaches and deep public health expertise with strong partnerships with government entities. The organization operates across 19 states and union territories in India, employing a diverse team of professionals from various sectors including public health, analytics, and academia. WJCF collaborates with international and domestic partners, including the Clinton Health Access Initiative, to advance its mission and enhance the effectiveness of health programs.
Job Overview:
The Applied AI Associate (Public Health) position is a hands-on role within the Health Analytics and AI Unit (HAAU) at the National Health Authority (NHA). The individual will leverage their understanding of public health and applied AI to translate the NHA's programmatic priorities into technical requirements and solutions. This role involves developing and operationalizing pipelines and tools for data structuring, validation, and AI-assisted analytics. The associate will work closely with programmatic and health-financing teams to ensure that analytical designs are effectively turned into working systems, contributing to the enhancement of India's flagship health protection and digital health programs.
Duties and Responsibilities:
The Applied AI Associate will be responsible for translating programmatic priorities into clear technical requirements, preparing data for analytics, and building operational pipelines that ensure scalability and reproducibility. Key duties include developing workflows for AI-assisted data structuring, creating anonymization pipelines compliant with the Digital Personal Data Protection Act, supporting the development of natural-language querying capabilities, and applying model-monitoring practices. The associate will also be expected to perform other responsibilities as assigned by WJCF and NHA leadership, ensuring that all tools and systems are built with a focus on quality and compliance with relevant regulations.
Required Qualifications:
Candidates must possess a Bachelor's or Master's degree in computer science, data science, statistics, public health, or a closely related field. A minimum of 5 years of experience in building machine learning and AI systems is required, with a proven track record of taking projects from prototype to production. Hands-on experience with evaluating and benchmarking AI systems, as well as familiarity with large-scale data processing and public health data, is essential. Proficiency in Python and SQL is mandatory, along with strong analytical and communication skills.
Educational Background:
The position requires a Bachelor's or Master's degree in a relevant field such as computer science, data science, statistics, or public health. This educational background is crucial for understanding the technical and analytical aspects of the role, as well as the public health context in which the associate will operate.
Experience:
The ideal candidate should have at least 5 years of experience in the field, specifically in building and maintaining machine learning and AI systems in a production environment. Experience with model evaluation, data processing, and public health analytics is highly desirable, as is familiarity with operational integration of model outputs and cloud ML platforms.
Languages:
Fluency in English is mandatory for this position. Additionally, fluency in Hindi or another Indian language is considered an advantage, as it may facilitate communication within diverse teams and with stakeholders in the public health sector.
Additional Notes:
This position is based in New Delhi and is a full-time role. The last date to apply for this position is 9th September 202
- The role offers an excellent opportunity for professionals looking to apply their AI expertise in a meaningful way within India's health protection and digital health initiatives. The organization values integrity, humility, and a commitment to building institutional capability.
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We are not liable for any decisions or actions taken by applicants in response to this job listing. By applying, you agree that all application processes, interviews, and potential job offers are managed exclusively by the listed employer or organization.
Beware of fraudulent job offers. Do not provide sensitive personal information or make any payments to secure a job.