The VinUniversity Center for Innovations in Health Sciences (IHS) is committed to advancing innovative solutions that promote health, wellness, and disease prevention, enhance early detection, and deliver accessible precision medicine for prevalent health challenges in Vietnam, Southeast Asia, and beyond. IHS aim to be the leading authority on healthcare access and social determinants of health that impact health outcomes in Vietnam and Southeast Asia, with the goal of developing policies, practices, and interventions that improve health and well-being for all.

PROJECT DESCRIPTION

IHS is looking for highly motivated postdoctoral researchers who are committed to advancing impactful, mission-driven science contributing to the Center’s growing research ecosystem of interdisciplinary health research.

The postdoctoral researcher will join 24 months projects named 1-“IMPACT-CKM”; 2-“Uncovering consumer-centric health insights using AI to enhance telehealth delivery (I-CARE AI)”, focused on health services research and digital health innovation, with the goal of generating new insights into AI-enabled integrated care models for cardiovascular–kidney–metabolic (CKM) conditions, patient engagement, and technology adoption in healthcare settings. The IMPACT-CKM project aims to generate local epidemiological evidence, CKM-informed care models with key stakeholders, and pilot implementation strategies within existing health system structures. The I-CARE project focuses on developing an AI model to identify consumer characteristics, complex patterns and relationships that may not be apparent through traditional analysis methods. Using Python programming and machine learning algorithms to uncover valuable insights to enhance clinical decision-making and care strategies. Working within a multidisciplinary team at IHS, the postdoc will contribute to systematic/type of critical literature reviews, data management, and both quantitative and qualitative data analysis. The role also requires proficiency in Python programming and the application of machine learning techniques to support data-driven insights. In addition, the preparation of scientific outputs and reports that directly advance the project’s research aims and broader institutional priorities.

KEY ROLES AND RESPONSIBILITIES

Roles & responsibilities:

The successful candidate will be a driving force behind the project’s success and will be expected to:

• Ensure strict compliance with ethical standards and all confidentiality requirements
• Conduct systematic or types of critical literature reviews (e.g. scoping reviews) to inform study
• Manage and curate datasets, including clinical, survey, and digital health data sources
• Perform quantitative and qualitative data analyses, including evaluation of clinical, behavioral, and health system outcomes
• Develop and apply machine learning models using Python to identify patient/consumer patterns and support clinical decision-making
• Contribute to the development, adaptation, and evaluation of AI-enabled and digital health interventions
• Engage with key stakeholders (e.g., clinicians, policymakers, and technology partners) to support implementation and translation
• Lead and contribute to scientific publications, technical reports, and policy briefs
• Support grant writing, project reporting, and dissemination activities
• Collaborate within a multidisciplinary and international research team, contributing to capacity building and knowledge exchange
• Mentorship: Assist in mentoring undergraduate and graduate students involved in the project.

Expected Deliverables:

• Two (02) Peer-reviewed publications (authorship as per ICMJE, PI-Wu is the first/corresponding author) in high-impact journals
• Analyzed and well-documented datasets, including reproducible code (e.g., Python scripts, ML pipelines)
• Validated analytical models, including machine learning models for consumer insights and clinical decision support
• Contributions to study protocols, logistics, approvals and project reports
• Presentations at national and international conferences and stakeholder meetings
• Inputs into future grant applications and project proposals

Qualifications:

Essential:

• Doctoral Degree in health services research, data science or a related field.
• Strong experience in both quantitative and qualitative data analyses and demonstrate experience co-design process.
• Demonstrated skills in Python programming and/or machine learning methods
• Experience working with health data (e.g., clinical, survey, or administrative datasets)
• Track record of peer-reviewed publications
• Strong analytical thinking, scientific writing, and communication skills
• Ability to work independently and collaboratively in a multidisciplinary environment

Desirable:

• Experience in digital health, AI in healthcare, or telehealth research
• Familiarity with implementation science or hybrid study designs
• Experience in low- and middle-income country (LMIC) settings, particularly in Asia
• Skills in qualitative or mixed-methods research
• Experience engaging with policy or health system stakeholders

Appointment Details:

• Salary: Competitive, in the range of 30,000 – 40,000 USD per annum, commensurate with experience.
• Contract: The position is offered on a yearly contract basis. The initial contract is renewed, typically for one year, subject to availability of funds, project needs, satisfactory performance, and approval from IHS.
• Performance Review and Termination: A Performance Improvement Plan (PIP) may be implemented if performance does not meet expectations. If performance does not improve satisfactorily during the PIP period, the contract may be terminated in accordance with the Contract agreement.
• Principal Investigator: A successful candidate will work under management of Associate Professor Wu, Chiung-Jung (Jo), whose research focuses on digital health interventions, patient self-management and self-efficacy, and clinical health services research, particularly in chronic diseases such as cardiovascular disease and diabetes. Her work emphasizes telehealth delivery, multidisciplinary care, and the development of patient-centered interventions to improve health outcomes. Additional details about their work can be found [https://orcid.org/0000-0001-6512-9049 ; https://scholar.google.com/citations?user=m_ouNbIAAAAJ&hl=en].
• Co-PI: Dr Nguyen Thi Tuyet, ORCID: https://orcid.org/0000-0002-2686-6895

How to Apply: Interested candidates are invited to submit a cover letter detailing their research experience and motivation for this specific project, along with a comprehensive CV, to the Principal Investigator Assoc. Prof. Jo Wu email (chiungjung.w@vinuni.edu.vn) by 12 April 2026.

Please include “Postdoc Application: [IMPACT-CKM and I-CARE AI]” in the subject line of your email.