Translational Science Fellowship in Healthcare Data Science and Informatics

International Medical University


The Institute for Research, Development and Innovation (IRDI) at the International Medical University (IMU), Malaysia invites applications for a unique postdoctoral research fellowship position in the area of population health and health data analytics.

The ideal candidate is an independent, solution-oriented thinker with a strong background in biostatistics/epidemiology, machine learning, data mining, applying analytical rigor and discovering actionable insights and novel solutions to inform population health and health systems policy and practice. A special emphasis will be on the exploration and analysis of linked longitudinal health data for epidemiological, diagnostic, and predictive applications focusing on cancer, diabetes, obesity, infectious diseases and other high-burden health conditions.

Working as part of a multi-disciplinary team, the candidate will have an opportunity to thrive and a place to engage in meaningful work that makes a positive impact on the lives of many. This position will offer a multidisciplinary, supportive environment where you will grow personally and professionally as you learn from some of the most talented people in their fields.


Duties and Responsibilities

  • Statistical/spatial analysis and problem-solving using population and administrative health data to identify key diagnostic and predictive insights.
  • Using machine learning and data mining principles to discover temporal and spatial trends and patterns, and support the development of algorithms to validate existing assumptions and processes.
  • Engage and interact with a range of health stakeholders across the region, including Government, scientists, clinicians and regional health authorities as well as industrial stakeholders.
  • Leading the dissemination of novel findings through scientific articles, presentations and research proposals.

Required Qualifications

  • Ph.D. in Medical/Health Informatics, Bioinformatics, Biostatistics, Epidemiology, Demography, Computer Science, Software Engineering, Data Science, or a related field.
  • Familiarity with data science tools (e.g., R, ArcGIS, Python, SAS, Tableau and etc) and experience working with large-scale datasets.
  • Experience in machine learning, statistics, inference algorithms, big data analytics, data/information mining and visualization, and health research.
  • Demonstrated ability to work independently and as a member of a multidisciplinary team.
  • Excellent written and spoken communication skills in English, as illustrated by a strong publication/presentation record.
  • A willingness and ability to develop and lead new collaborations is essential.

Appointment and Funding

In addition to a competitive salary package, the postdoctoral fellow will also be provided with a research grant of RM 50,000 that can be used for computing equipment, and/or other research-related costs.


Application Procedures

You must have a valid email address to apply. There is a two-step application process for the Postdoctoral Fellowship. The first step in the application process is to submit a brief statement of research interests (600-word-or-less summary) that succinctly describes the applicant’s research interests, a comprehensive curriculum vitae (CV) and two (2) letters of reference. The research proposal and CV should be e-mailed directly to the Professor Chee-Onn Leong () before 31 May 2018. The reference letters should be submitted by the referees directly. Shortlisted candidates may be called for an interview and to present their research proposal to the Fellowship Review Committee.


Contact Person

Chee-Onn Leong, PhD
Deputy Director, Research

In your application, please refer to