University Lecturer in Health Informatics

KPJ HEALTHCARE UNIVERSITY; Kuala Lumpur; Presencial; MYR 90.000 - 140.000; Jornada completa

Descripción de la vacante

KPJ Healthcare University (KPJU) invites applications for a full‑time, on‑site University Lecturer in Health Informatics. The role covers delivering lectures, developing teaching materials, supervising student projects, and contributing to research and KPJU’s AI and Digital Health initiatives.

The candidate should hold a Master’s Degree or PhD in Digital Health, Health Informatics, or related fields, with a strong research portfolio and teaching experience.

Formación

• Master’s Degree or PhD in Digital Health, Health Informatics, Bioinformatics, Data Science, or a closely related discipline.
• Experience with Programme Coordinator and/or relevance to Outcome‑Based Education (OBE), CASEMIX (DRG) and academic programme development is advantageous.
• Experience with Open and Distance Learning (ODL) programme development and HRD Corp Train‑the‑Trainer (TTT) is advantageous.
• Demonstrated teaching, curriculum development, and academic assessment experience.
• Strong research portfolio with a record of publications.
• Ability to supervise student research and projects effectively.
• Excellent interpersonal and communication skills.
• Proficiency in integrating digital technology in teaching.
• Malaysian candidates preferred; December 2026 or January 2027 start is advantageous.

Responsabilidades

• Deliver lectures, tutorials, and practical sessions in Health Informatics, Bioinformatics and Data Science
• Develop and maintain course materials and teaching resources
• Supervise undergraduate and postgraduate research projects
• Conduct academic research and publish in peer‑reviewed journals
• Mentor students and support their academic and professional development
• Participate in curriculum design and review processes
• Attend departmental and university‑level academic meetings
• Conduct professional training in Health Informatics, Bioinformatics, Data Science, or related areas
• Support KPJ and KPJU’s AI, Digital Health, Bioinformatics and Data Science initiatives

Conocimientos

Health Informatics

Bioinformatics

Data Science

Teaching

Curriculum design

Research

Student supervision

Educación

Master’s Degree or PhD in Digital Health, Health Informatics, Bioinformatics, Data Science, or closely related discipline

Descripción del empleo

KPJ Healthcare University (KPJU) has been a leader in healthcare education in Malaysia for over 34 years, beginning as a nursing college and evolving into a full‑fledged university. With campuses in Nilai, Johor Bahru, and Bukit Mertajam, KPJU offers programmes ranging from foundation to PhD levels.

As part of the KPJ Healthcare Berhad group, we are uniquely positioned with access to 30 specialist hospitals nationwide, providing real‑world clinical training and strong industry integration. We are committed to digital transformation in education and are working towards becoming a leading Academic Health System (AHS) that merges patient care, research, and teaching excellence.

Role Description

As we expand Malaysia’s and SEA's very first and only School of Digital Health, we are seeking a full‑time, on‑site University Lecturer in Health Informatics to join our growing academic team. The Lecturer will be responsible (but not limited to) in preparing and delivering lectures, developing teaching materials, conducting research and trainings, supervising student projects, and providing mentorship. Additional tasks include contributing to administrative tasks at various levels, curriculum and programme development, participating in University, School and departmental colloquia and meetings, collaborating with other faculty and organisation members, and to engage, support and contribute towards KPJ and KPJU’s AI, Digital Health, Health Informatics and Data Science initiatives, including our Centre for Digital Health (CDH). This role is primarily located in Nilai, Negeri Sembilan, Malaysia.

Key Responsibilities

• Deliver lectures, tutorials, and practical sessions in Health Informatics, Bioinformatics and Data Science
• Develop and maintain course materials and teaching resources
• Supervise undergraduate and postgraduate research projects
• Conduct academic research and publish in peer‑reviewed journals
• Mentor students and support their academic and professional development
• Participate in curriculum design and review processes
• Attend departmental and university‑level academic meetings
• Conduct professional training in Health Informatics, Bioinformatics, Data Science, or related areas
• Support KPJ and KPJU’s ongoing and future AI, Digital Health, Bioinformatics and Data Science initiatives

Requirements

• Master’s Degree or PhD in Digital Health, Health Informatics, Bioinformatics, Data Science, or a closely related discipline.
• Candidates with experience as Programme Coordinator and/or relevant certification in Outcome‑Based Education (OBE), CASEMIX (including Diagnosis‑Related Group (DRG) systems and clinical coding), and academic programme development will have a distinct advantage.
• Experience and/or relevant certification in Open and Distance Learning (ODL) programme development, as well as HRD Corp (HRDC) Train‑the‑Trainer (TTT), will be considered an added advantage.
• Demonstrated experience in teaching, curriculum development, and academic assessment.
• Strong research portfolio with a record of publications
• Ability to supervise student research and projects effectively
• Excellent interpersonal and communication skills
• Proficiency in integrating digital technology in teaching
• Prior experience conducting professional or industry‑focused training is a plus
• Suitably qualified Malaysian candidates and those currently based in Malaysia are particularly encouraged to apply. Candidates who are available to commence employment in December 2026 or January 2027 will be considered an added advantage.

We thank all applicants for their interest. Kindly note that only shortlisted candidates will be contacted for the next stage of the selection process. All the very best!