Vacancies

About IHAT:

India Health Action Trust was instituted in 2003 as a Charitable Trust with a vision to meaningfully impact the lives of vulnerable and marginalised people by addressing health and social inequities. The Trust is working towards reducing inequities by developing comprehensive and sustainable programmes to improve population health. Since its inception, IHAT has working closely with the Government of India and state governments, including Uttar Pradesh, Madhya Pradesh, Rajasthan, Delhi and Bihar to achieve public health goals. Our work is focused in areas of prevention and control of HIV and Tuberculosis, in achieving significant improvements in Reproductive, Maternal, Neonatal and Child Health, improved Nutrition among mothers and children, and strengthening health systems. We use program science to optimise and scale public health programs while partnering with the governments and communities.

About Program:

The Uttar Pradesh Technical Support Unit (UPTSU) provides integrated Technical Assistance (TA) to the government of Uttar Pradesh (GoUP), which focuses on accelerating progress in reproductive, maternal, new-born and child health, and nutrition (RMNCHN). UPTSU works closely with the GoUP at the state, district and local levels to optimize RMNCHN programs and services. The technical assistance provided by UPTSU is integrated within the GoUP’s health system response for scale-up and sustainability. UPTSU focuses on interventions to improve outcomes in Family Planning, Maternal and New-born Health, and Nutrition, along with Routine Immunization, Digital Health, and other initiatives.

Reporting to:

Deputy Director-ICT or any else designated by them.

Travel Requirements:

10%-20%

Job Summary :

The objective of this advertisement is to recruit a suitable candidate for the position of Specialist or Team Lead – Artificial Intelligence & Health Informatics, depending on the candidate’s qualifications and experience.

The role holder will serve as a technical authority and strategic driver of cutting-edge AI and data science innovations across public health systems and academic medical centres. Operating at the intersection of advanced artificial intelligence, public health policy, and clinical informatics, the role will involve leading the design, development, and governance of high-impact AI architectures, including Generative AI, Large Language Models (LLMs), Computer Vision, and predictive systems, to enable evidence-based decision-making and transform healthcare delivery across Uttar Pradesh.

Depending on the candidate’s qualifications and experience, the role may also entail providing overall technical and delivery leadership for AI and health informatics initiatives, establishing priorities and technical direction, ensuring alignment with relevant programmes and public health objectives, and overseeing the quality, responsible deployment, and outcomes of the overall workstream.

Key Responsibilities:

• AI-Enabled Clinical Decision Support Systems (CDSS): Focus on developing AI-enabled clinical decision support systems by analysing structured, semi-structured, and unstructured healthcare data to support evidence-based clinical decision-making.
• AI Architecture & Technical Leadership: Contribute to the design and delivery of state-of-the-art AI/ML and health informatics solutions for public health services, including monitoring, analytics, dashboard development, and institutional research.
• Generative AI, ML & LLM Implementation: Conceptualise, design, and deploy Machine Learning, Natural Language Processing (NLP), Generative AI, statistical modelling, and advanced analytics solutions for healthcare use cases.
• Advanced Deep Learning & Computer Vision: Oversee the development, training, and production deployment of deep learning models for applications such as biomedical imaging, automated video analysis, and early-warning and prognostic analytics.
• Strategic Vendor & Lifecycle Governance: Direct the end-to-end technical management of external vendor deliverables, enforce architectural standards, manage Service Level Agreements (SLAs), and lead enterprise-scale solution rollouts.
• Ethical AI, Compliance & Data Governance: Support AI governance and Responsible AI practices, including use-case assessment, risk evaluation, feasibility assessment, privacy considerations, and documentation. Knowledge of relevant regulatory frameworks and best practices, including the Digital Personal Data Protection (DPDP) Act, HIPAA, GDPR, and national digital health standards, is desirable.
• Knowledge Dissemination & Mentorship: Disseminate research findings through high-impact reports, academic publications, and executive briefings. Mentor junior data scientists and contribute to building institutional analytics capacity.
• Additional Team Lead Criteria: Lead the workstream end-to-end by translating programme requirements into a delivery roadmap, prioritizing use cases, assigning and reviewing work, tracking milestones and risks, and ensuring technical quality and timely implementation. Coordinate cross-functional team members and vendors, resolve delivery challenges, mentor colleagues, and present progress updates, risks, and recommendations to senior stakeholders.

Work Experience:

Essential:

• 5–7 years of relevant professional experience in IT, data science, artificial intelligence, machine learning, health informatics, or a related field.
• At least 3 years of hands-on experience in developing, implementing, and deploying AI/ML solutions, including advanced machine learning, deep learning, and data-driven applications.
• Demonstrated experience in developing and deploying AI/ML models or solutions, from problem definition and solution design through implementation and monitoring.

Preferred:

• Experience applying AI, machine learning, or data science to address healthcare or public health challenges.
• Familiarity with healthcare data and systems, including electronic health records (EHR/EMR), clinical notes, hospital workflows, or population health data.
• Experience leading or coordinating data science teams, technical workstreams, or complex digital health projects.
• Experience collaborating with government departments, public health institutions, academic medical centers, or external technology vendors.
• Familiarity with healthcare data governance, responsible AI, and applicable data protection and digital health standards.

Education:

• Essential: A Master’s degree (M.Tech., MCA, M.Sc., or equivalent) in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a closely related field.
• Preferred: A Ph.D. in a relevant discipline is strongly preferred.

Key Competencies:

Behavioral:

• Leadership and Team Development: Ability to lead, mentor, and develop technical teams, with a focus on collaboration, knowledge sharing, and continuous improvement. Particularly relevant to the Team Lead position.
• Planning and Prioritization: Ability to establish priorities, manage competing deadlines, and ensure timely delivery of assigned responsibilities.
• Decision-Making and Problem-Solving: Ability to make sound technical and delivery-related decisions and address complex challenges effectively.
• Communication and Stakeholder Engagement: Ability to articulate complex mathematical, technical, and architectural concepts clearly and concisely to diverse audiences, including clinical experts, senior government officials, and technical leadership.
• Collaboration and Risk Management: Ability to facilitate collaboration across technical and non-technical stakeholders, identify project risks and dependencies, and communicate progress, risks, and escalations effectively.

Functional:

• Core Technologies: Proficiency in Python, including object-oriented programming (OOP) concepts; SQL, including Common Table Expressions (CTEs) and window functions; cloud services; LangChain; relevant machine learning and deep learning libraries; and enterprise data architectures.
• AI and Generative AI: Strong understanding of Retrieval-Augmented Generation (RAG) frameworks, prompt engineering, multimodal architectures, large language model (LLM) fine-tuning, and transformer-based models.
• MLOps and Cloud Infrastructure: Understanding of scalable cloud infrastructure and services (AWS, GCP, or Azure), CI/CD pipelines, and MLOps practices for model deployment, monitoring, and lifecycle management.
• AI Solution Development and Deployment: Ability to contribute to the design, development, implementation, and deployment of AI/ML solutions, ensuring scalability, reliability, and maintainability.

Domain:

• Healthcare Data and Systems: Understanding of healthcare data and systems, including electronic health records (EHR/EMR), clinical notes, hospital workflows, and population health data.
• Healthcare Privacy and Data Security: Understanding of healthcare data privacy requirements, data de-identification techniques, and applicable data security protocols.
• Responsible AI and Governance: Understanding of responsible AI practices, ethical AI principles, and relevant healthcare data governance frameworks and standards.
• Public Health and Healthcare Applications: Ability to apply AI, machine learning, and data science approaches to address healthcare and public health challenges, including clinical decision support, public health monitoring, analytics, and evidence-based decision-making.

How To Apply :

Interested candidates should submit their applications by clicking the “Apply Now” button provided on this page. Only a complete application submitted through the online portal before the closing date will be considered.

IHAT provides a safe working environment for all its employees; follows the principle of equal opportunity and encourages women applicants. Physically challenged with required skills /knowledge and willing to travel are also encouraged to apply.

We will be following a systematic selection process to fill this position based on experience, competency and suitability. Shortlisting for the posts will take place soon after the closing date. Only shortlisted candidates will be invited for an interview. Unfortunately, we can only contact applicants who have been shortlisted for the interview. If you have not heard from us within 6 weeks of the closing date, please assume that the current IHAT positions are unable to accommodate you at the moment. It is also not possible for us to provide you with specific feedback because of the volume of applications we receive.

IHAT does not charge any application, processing, training, interviewing, testing, or other fees in connection with the application or recruitment process. Should you receive a solicitation for the payment of a fee, please disregard it.

Advertisement Publish Date:

23 October, 2026

Advertisement End Date:

05 November, 2026