Specialist / Team LeadArtificial Intelligence & Health Informatics

India Health Action Trust(IHAT); Lucknow; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

India Health Action Trust (IHAT) in Uttar Pradesh invites a Specialist or Team Lead in Artificial Intelligence Health Informatics. The role drives AI innovations across public health, leading design, governance, and deployment of AI architectures including Generative AI and ML models to enable evidence-based decision-making in GoUP initiatives.

The role entails technical leadership, prioritising use cases, coordinating with vendors, ensuring quality, and guiding delivery across health systems

Qualifications

• Essential: Master’s degree in Computer Science, AI, Data Science, IT or closely related field.
• Essential: 5–7 years in IT, data science, AI, health informatics, or related field.
• Essential: 3+ years hands-on AI/ML solution development, deployment and monitoring.
• Preferred: Experience applying AI/ML to healthcare or public health challenges.
• Preferred: Familiarity with EHR/EMR data, hospital workflows or population health data.

Responsibilities

• AI-enabled CDSS development by analysing structured and unstructured health data.
• Lead AI/ML and health informatics solutions including analytics, dashboards, and research.
• Oversee Generative AI, NLP, ML, and deep learning models for healthcare use cases.
• Direct vendor governance, SLAs, and end-to-end delivery of AI initiatives.
• Mentor junior data scientists and ensure responsible AI governance.

Skills

Leadership & team development

Planning & prioritization

Decision making & problem solving

Communication & stakeholder engagement

Collaboration & risk management

Education

Master's degree in Computer Science / AI / Data Science / IT

PhD in a relevant discipline (preferred)

Tools

Python

SQL

Cloud services

LangChain

ML/DL

Job description

India Health Action Trust was instituted 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 optimise RMNCHN programmes 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 Immunisation, 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, prioritising 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 centres, 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.

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