Lead Informatics Engineer, CMIO Office

aku; Pakistan; On-site; PKR 2,000,000 - 3,000,000; Full time

Job summary

Aga Khan University Hospital in Karachi, Pakistan invites a Lead Informatics Engineer to drive the design, development, integration, and optimization of healthcare informatics, EHR data, and digital health solutions. You will translate clinical requirements into reliable technology solutions and lead data-driven initiatives.

Reporting to the CMIO, you will oversee data quality, clinical workflows, research datasets, and educational activities while collaborating with IT, quality, research, and

Qualifications

• Master’s degree in Clinical or Health Informatics, Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Minimum 15 years of relevant academic or professional experience in clinical informatics, healthcare data and analytics, health data science, or related fields.
• Strong knowledge of clinical informatics, EHR data, healthcare analytics, health data science, and data to support clinical care, quality improvement, research, and decision-making.
• Understanding of clinical workflows, healthcare information systems, clinical terminology, data definitions, quality measures, and performance indicators.
• Knowledge of data environments, models, databases, data warehouses, and research data environments.

Responsibilities

• Lead clinical informatics and EHR data stewardship with consistent data definitions and information models.
• Translate workflows and requirements into informatics specifications with IT teams.
• Ensure EHR solutions reflect clinical workflows and data meaning.
• Validate EHR-derived data, reports, dashboards, and analytics for accuracy.
• Identify and resolve data quality and reporting discrepancies with cross-functional teams.
• Support development of research-ready clinical datasets and use of EHR data for research.
• Contribute to clinical informatics education and mentorship across teams.
• Provide clinical informatics expertise to health data science, AI, and analytics initiatives.
• Support design and evaluation of data-driven clinical, quality, and operational solutions.

Skills

Clinical informatics

EHR data

Data analytics

Stakeholder engagement

Communication

Mentoring

Problem-solving

Teaching

Data governance

Education

Master’s degree in Clinical or Health Informatics

Tools

Python

R

SQL

Job description

Lead Informatics Engineer

Entity: Aga Khan University Hospital

Location: Karachi, Pakistan

Introduction:

Chartered in 1983, Aga Khan University (AKU) is a private, non-profit, autonomous and self-governing international university and healthcare organization with 13 teaching sites, 7 hospitals and 325 outreach and other health facilities located in 6 countries over three continents. An integral part of the Aga Khan Development Network, AKU provides higher education in several disciplines, carries out a wide range of research and has campuses, programs and teaching hospitals providing world class healthcare services in Kenya, Pakistan, Tanzania, Uganda, Afghanistan and UK with over 3,000 students and more than 17,000 employees. As an international institution, AKU operates on the core principles of quality, relevance, impact and access.

As an equal opportunity employer, AKU believes in promoting a diverse and inclusive culture and is committed to adopt appropriate standards for safeguarding and promoting a respectful relationship with and between diverse workforce of its faculty, staff, trainees, volunteers, beneficiaries, wider communities, and other stakeholders with whom it works, including children and vulnerable adults and expects all employees/trainees and partners to share this commitment.

Responsibilities:

The Lead Informatics Engineer will play a key role in the design, development, integration, and optimization of healthcare informatics, EHR, data, and digital health solutions. The position will provide technical leadership in translating clinical, operational, research, and business requirements into reliable, scalable, and clinically meaningful technology solutions. Reporting to the Chief Medical Information Officer (CMIO), you will be responsible for:

• Lead clinical informatics and EHR data stewardship, ensuring consistent clinical data definitions, standards, terminology, and information models.
• Translate clinical workflows and business requirements into clear informatics specifications in collaboration with IT and technical teams.
• Ensure EHR solutions accurately reflect clinical workflows, data meaning, and intended use.
• Validate EHR-derived data, reports, quality measures, dashboards, and analytical outputs for accuracy, completeness, consistency, and clinical relevance.
• Identify and resolve clinical data quality and reporting discrepancies in collaboration with Clinical, Quality, Research, Informatics, and Technology teams.
• Support the development and validation of research-ready clinical datasets and appropriate use of EHR data for research and academic activities.
• Contribute to clinical informatics education, training, mentoring, and knowledge-sharing across relevant teams.
• Provide clinical informatics expertise to health data science, AI, machine learning, and analytics initiatives.
• Support the design and evaluation of data-driven clinical, quality, research, and operational solutions.
• Promote the responsible and appropriate use of healthcare data and AI across clinical and research applications.

Requirements:

The incumbent must have:

• Master’s degree in Clinical or Health Informatics, Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Minimum 15 years of relevant academic or professional experience in clinical informatics, healthcare data and analytics, health data science, clinical research, or related fields.
• Strong knowledge of clinical informatics, EHR data, healthcare analytics, health data science, and the use of data to support clinical care, quality improvement, research, and decision-making.
• Strong understanding of clinical workflows, healthcare information systems, clinical terminology, data definitions, quality measures, and performance indicators.
• Knowledge of clinical and analytical data environments, including data integration, transformation, curation, validation, standardization, and interpretation.
• Understanding of clinical and healthcare data environments, data models, databases, data warehouses, and research data environments.
• Knowledge of healthcare data standards, clinical terminologies, interoperability principles, and clinical data models relevant to EHR and enterprise healthcare data
• Ability to translate complex clinical, quality, research, and academic requirements into clear data, analytical, and informatics specifications.
• Knowledge of statistical methods, artificial intelligence, machine learning, and advanced analytics, including their appropriate and responsible application in healthcare.
• Proficiency in analytical programming and querying tools such as Python, R, and SQL.
• Ability to teach, mentor, and build capacity in clinical informatics, healthcare data, analytics, and research methods.
• Experience of developing AI solutions in healthcare setting
• Strong stakeholder engagement, communication, and collaborative skills, with the ability to work effectively across clinical, quality, research, academic, informatics, and technology teams.
• Strong problem-solving, critical-thinking, and judgment skills, with the ability to manage complex and competing institutional requirements.

Comprehensive employment reference checks will be conducted