ROLE PROFILE
|
Job Title
|
Specialist / Team Lead– Artificial Intelligence & Health Informatics
|
|
Functional Area
|
Data Science
|
|
Reports To
|
Deputy Director-ICT or any else designated by them
|
|
Location
|
Lucknow
|
Travel Required
|
10-20%
|
|
Effective Date
|
November 2026
|
IHAT PURPOSE AND PRIORITIES
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.
ROLE PURPOSE
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.
DIMENSIONS
- 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.
QUALIFICATIONS
- 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.
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.
CRITICAL 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.
KEY RELATIONSHIPS
- Internal: Senior Leadership
- External: Senior Government Officials (Department of Health and Family Welfare), Academic Partners, and Technology Vendors.
IHAT’S VALUES IN PRACTICE
- Community Centric: It is the communities we serve and the community at IHAT that drives us forward.
- Think Sustainability: We believe in engaging with the government and communities to scale up and sustain positive outcomes
- Scientific and Innovative: We relentlessly pursue scientific rigour and adapt our work in the face of new evidence. We encourage out of the box thinking and challenge ourselves to do better.
- Interdisciplinary: We foster discussion, debate and deliberation across disciplines to arrive at the best possible solution.
LEVEL OF CONTACT WITH CHILDREN
Low Contact – Low frequency of interaction with children
Statement on IHAT's Commitment to Gender Equality, Diversity, and Inclusion
IHAT is an equal opportunity organization. At IHAT, we are dedicated to fostering an environment that values and respects gender equality, diversity, and inclusion. We believe that a diverse and inclusive workplace is essential for driving innovation, creativity, and success. We are committed to ensuring that every individual, regardless of gender, race, ethnicity, sexual orientation, or any other characteristic, is treated with dignity and respect.
Commitment to Safeguarding, Protection from Sexual Exploitation and Abuse (PSHEA), and Consent Seeking
IHAT is unwavering in its commitment to safeguarding all individuals associated with our work. We prioritize the safety and well-being of our employees, partners, and the communities we serve. We strictly adhere to policies and practices that protect against sexual exploitation and abuse and emphasize the importance of consent in all interactions.
Transfer of Commitment
As part of our Terms of Reference, IHAT requires that all hired agencies, partners and individuals uphold these same standards. This includes a firm commitment to safeguarding, protection from sexual exploitation and abuse (PSHEA), and consent seeking. We expect our partners, agencies and individuals working with us to sign into the required policies and integrate these principles into their operations, ensuring a safe and respectful environment for all.
HOW TO APPLY
IHAT is an equal opportunity employer. The organization is continuously assessing and enhancing its practices allied with gender equity and inclusion. We provide a multicultural and safe working environment for all our employees. Equal opportunity is provided to qualified and interested candidates irrespective of caste, color, religion, marital status, sexual orientation, ability, gender identity expression, or any other basis for attracting diverse talent, cultivating and nurturing an inclusive workplace environment. IHAT is committed to providing an enabling environment to its employees to continue with the learning pathway. Applications are particularly encouraged by women and other diverse genders, applicants from marginalized communities, people living with HIV and different abilities.
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. If you have not heard from us within fifteen days 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.