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Data Specialist, Obstetrics & Gynaecology

Data Specialist, Obstetrics & Gynaecology - (260001TU)

Data Specialist, Department of Obstetrics and Gynaecology

Entity

Medical College

Location

Karachi, Pakistan

Introduction

Aga Khan University (AKU), a private, self-governing international university chartered in Pakistan in 1983, is a role model for academic, research and service programmes in health and higher education in the developing world. The University currently has teaching sites in Pakistan, East Africa, the United Kingdom and Afghanistan, and is a major component of Aga Khan Development Network.

The Department of Obstetrics and Gynaecology is the academic department of the University to support wide range in-patient and outpatient women’s healthcare services pertinent to general obstetrics and gynaeoclogy, lactation consultancy, family planning and parenting education. In addition to the core services, department also caters to wide range of specialized services such as Maternal Fetal Medicine, Gynecologic Oncology, Urogyneoclogy and Pediatrics & Adolescent gynaeoclogy. The department also offers formal post graduate training programs of residency and fellowship in Maternal and Fetal Medicine, Urogynecology and Gynecologic Oncology.
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

You will be responsible for supporting data-driven decision making through healthcare analytics, reporting, dashboard development and operational insights to strengthen clinical, academic and administrative performance within the department. This role will contribute to quality improvement initiatives, financial and operational analysis, and support data management systems aligned with departmental priorities.

Specifically, you will be responsible for:

  • collecting, cleaning and validating clinical, operational and financial data from multiple sources including Medical Records and finance systems
  • analyzing trends in key indicators including labor and delivery outcomes, C-section rates, maternal and neonatal outcomes, patient volumes and service utilization
  • conducting workflow and time-motion studies to identify process inefficiencies and opportunities for improvement
  • designing and maintaining dashboards and developing standardized reports, KPIs and performance metrics for departmental leadership
  • supporting clinical audits, morbidity and mortality reviews, and quality improvement initiatives
  • monitoring compliance with clinical protocols, quality indicators and patient safety standards
  • analyzing cost utilization, performance and revenue trends and supporting budgeting and resource optimization initiatives
  • collaborating with departmental and institutional stakeholders on data extraction, validation, automation and systems integration
  • supporting special analytical projects and other tasks assigned by the supervisor

Qualifications

Requirements

You should have:

  • a Master’s degree in Data Science, Health Informatics, Statistics, Public Health or a related field
  • 3-5 years of experience in healthcare analytics, preferably in maternal and child health or hospital settings
  • experience working with EHR systems and healthcare datasets
  • understanding of healthcare systems, hospital operations and clinical workflows, preferably in ObGyn settings
  • familiarity with maternal health indicators, quality metrics and healthcare data structures
  • knowledge of data management principles, validation and quality assurance standards
  • basic understanding of healthcare finance, service line performance and resource utilization
  • strong analytical, problem-solving and reporting skills
  • proficiency in analytical applications and data visualization tools
  • ability to work collaboratively in multidisciplinary teams and manage multiple priorities effectively

Comprehensive employment reference checks will be conducted.


Primary Location: Pakistan
Organisation: Aga Khan University Pakistan
Employee Status: Regular
Job Type: Standard
Job Posting: 13/05/2026, 10:34:15 PM
Closing Date: Ongoing

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