SCOPE / PURPOSE OF JOB / JOB RESPONSIBILITIES

Introduction

Oral cancer is one of the most common cancers in Asia, and nearly 74% of oral cancer-related deaths occur in Asians. The major challenge in most Asian settings is access to timely diagnosis, particularly in remote areas. We have developed MeMoSA®, an App to capture individual patient information and enable specialists to remotely provide clinical recommendations for patients with suspicious lesions.MeMoSA® is currently used for teleconsultation in a clinical setting enabling patients with high-risk lesions to attend follow-up remotely. Moving forward, we aim to integrate MeMoSA® in screeningprograms to facilitate early detection in the community. To be able to scale this up in the longer-term, we have also developed an AI-driven algorithm for the classification of oral lesions.

In this project, we will improve on the development of the AI-driven algorithm and the MeMoSA® App, and conduct implementation science research to evaluate the implementation of MeMoSA® for early detection of high-risk lesions and for the follow-up of patients in rural Malaysia.

The candidate is required to support research activities focused on the development, evaluation, and implementation of AI-enabled oral cancer screening programme by contributing to research activitiesand evidence generation to support the translation of innovative screening approaches into real-world healthcare settings. The candidate is required to lead the analysis of quantitative research data from the screening programme and AI evaluation studies.

Major Duties and Responsibilities:

• Support the research design, development, implementation and evaluation of MeMoSA and

MeMoSA AI

• Assist in the preparation of research proposals, grant applications, study protocols, ethicssubmissions, and other research-related documentation.
• Lead data collection
• Lead management and data analysis, interpretation and dissemination of research findings.
• Collaborate with multidisciplinary teams to support the translation of MeMoSA and MeMoSA AI intoclinical practice.
• Maintain accurate research documentation and ensure compliance with institutional, ethical, andregulatory requirements.
• To undertake any tasks as required.

QUALIFICATIONS/REQUIREMENTS

• The ideal candidate for this position should have degree in science or public health.
• Experience in SPSS, R programming or other statistical software or programming is required.
• Experience in implementation research, digital health and scientific writing would be an added advantage.
• Candidates must be meticulous and have a high attention to detail in carrying out tasks and be able to maintain a high level of accuracy with minimal supervision.