6 Research Participant jobs in Malaysia

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This research project involves the development of a versatile and high-performance robotic nursing platform for smart hospital systems. The research fellow is expected to contribute to the following aspects:
a) Designing a multifunctional and capable robotic nursing platform with an emphasis on patient caregiving and clinical logistics. The goal is to reduce the workload of human nurses, enabling them to focus on more complex and critical tasks.
b) Developing a robust and versatile control system for the proposed platform, leveraging foundation models or reinforcement learning to support functions such as interactive navigation and intelligent human–robot interaction.
c) Deploying and evaluating the developed robotic nursing platform in a real hospital environment to assess its effectiveness and practical impact.

Qualifications

• Min Bachelor’s degree in a relevant discipline, such as robotics, mechanical engineering, electrical/electronic engineering, computer science, or related fields.
• Solid experience in robotic control, particularly in reinforcement learning, imitation learning and foundation models. Publications in the robotics domain is a plus.
• Proficiency in advanced perception models.
• Hands-on experience in real-world robotics deployment and addressing the sim-to-real gap.
• Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing.
• Software programming in C/C++ and Python.
• Excellent analytical and computational skills.
• Understanding of software engineering principles, preferred worked experience on open-source software.
• The candidate must have the ability to work independently as well as part of a team with strong initiatives and have the curiosity to explore the unknown.
• Open to Fixed Term Contract.

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Interested applicants are invited to apply directly at the

NUS Career Portal Your application will be processed only if you apply via

NUS Career Portal We regret that only shortlisted candidates will be notified. Job Description

This research project involves the development of a versatile and high-performance robotic nursing platform for smart hospital systems. The research fellow is expected to contribute to the following aspects: a) Designing a multifunctional and capable robotic nursing platform with an emphasis on patient caregiving and clinical logistics. The goal is to reduce the workload of human nurses, enabling them to focus on more complex and critical tasks. b) Developing a robust and versatile control system for the proposed platform, leveraging foundation models or reinforcement learning to support functions such as interactive navigation and intelligent human–robot interaction. c) Deploying and evaluating the developed robotic nursing platform in a real hospital environment to assess its effectiveness and practical impact. Qualifications

• Min Bachelor’s degree in a relevant discipline, such as robotics, mechanical engineering, electrical/electronic engineering, computer science, or related fields. • Solid experience in robotic control, particularly in reinforcement learning, imitation learning and foundation models. Publications in the robotics domain is a plus. • Proficiency in advanced perception models. • Hands-on experience in real-world robotics deployment and addressing the sim-to-real gap. • Solid knowledge of numerical methods, including optimization, linear algebra, and geometry processing. • Software programming in C/C++ and Python. • Excellent analytical and computational skills. • Understanding of software engineering principles, preferred worked experience on open-source software. • The candidate must have the ability to work independently as well as part of a team with strong initiatives and have the curiosity to explore the unknown. • Open to Fixed Term Contract.

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AI Research Scientist (Medical Imaging) Digital Health Unit

We are seeking a highly motivated and creative AI Research Scientist to lead the development and improvement of AI models focused on oral lesion detection as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK.

SCOPE / PURPOSE OF JOB

Short-Term Objectives (Year 1–2):

• Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques
• Develop novel, bias-aware , transparent , and explainable AI approaches to improve clinical trust and applicability.
• Collaborate with dental and medical experts to ensure clinical relevance and data validity.
• Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers.
• Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics.

Long-Term Objectives:

• Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team.
• Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records).
• Contribute to the design of a scalable AI research infrastructure within the institution.

Qualifications

PhD or Master’s degree in Computer Science , Artificial Intelligence , Machine Learning , Biomedical Engineering , or related fields.

Experience:

• Minimum 2–3 years of hands-on experience in deep learning, preferably in medical imaging (experience with oral or dental images is a plus).
• Strong understanding of model fairness , bias mitigation , explainability (XAI) , and ethical AI .
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow .
• Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM).
• Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable.
• Experience in leading small research or development projects is a plus.

Preferred Qualities

• Creative and independent thinker who can bring new ideas to the table.
• Passion for responsible AI development and real-world healthcare applications.
• Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams.

Why Join Us?

• Be at the forefront of AI innovation in healthcare with real clinical impact.
• Opportunity to shape the future of an in-house AI research unit.
• Work closely with a diverse team of clinicians, researchers, and institutional leaders.
• Access to rich clinical datasets and institutional support for high-impact research.

We are an independent and non-profit cancer research organisation based in Malaysia. Funded by donations and research grants, we conduct research in niche cancers often found in our Asian population.

Cancer — the big ‘C’ — continues to be a stigma, only spoken about in hushed whispers; how it’s bad karma, how much it costs, and that nothing could be done.

Confronting this stigma head on, CRM has been reversing this language of cancer, transforming the big ‘C’ to a little ‘c’, and we plan to develop tools backed by good research to ensure that we can truly fight cancer on all fronts.

We believe that we will reverse the grip of cancer in our lives. We want researchers to win the war against cancer by turning it around with new ways of prevention and cure. We want to empower the public through impactful outreach programmes, with the hopes that Malaysians will respond differently to cancer by coming forward for screenings and going through with treatments.

Our driving force is held together by these goals:

• Improving the survival rates of Asian cancer patients, focusing on neglected areas of research.
• Empowering Asians to have the proper screening and treatment.
• Improving survival rates by being more accessible, focusing on providing existing cures to patients rather than sit on inaction and potentially losing lives.
• Making affordable and timely treatments by repurposing drugs, acknowledging the reality that developing new cures are costly and risky.
• Putting Malaysia in the global spotlight for cancer research by collaborating with top scientists around the world,and working to nurture the next generation of Malaysian cancer researchers.

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AI Research Scientist (Medical Imaging) Digital Health Unit

We are seeking a highly motivated and creative

AI Research Scientist

to lead the development and improvement of AI models focused on

oral lesion detection

as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK. SCOPE / PURPOSE OF JOB Short-Term Objectives (Year 1–2): Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques Develop novel,

bias-aware ,

transparent , and

explainable

AI approaches to improve clinical trust and applicability. Collaborate with dental and medical experts to ensure clinical relevance and data validity. Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers. Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics. Long-Term Objectives: Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team. Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records). Contribute to the design of a scalable AI research infrastructure within the institution. Qualifications PhD or Master’s degree in

Computer Science ,

Artificial Intelligence ,

Machine Learning ,

Biomedical Engineering , or related fields. Experience: Minimum

2–3 years of hands-on experience

in deep learning, preferably in

medical imaging

(experience with oral or dental images is a plus). Strong understanding of

model fairness ,

bias mitigation ,

explainability (XAI) , and

ethical AI . Proficiency with deep learning frameworks such as

PyTorch

or

TensorFlow . Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM). Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable. Experience in leading small research or development projects is a plus. Preferred Qualities Creative and independent thinker who can bring new ideas to the table. Passion for responsible AI development and real-world healthcare applications. Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams. Why Join Us? Be at the forefront of AI innovation in healthcare with real clinical impact. Opportunity to shape the future of an in-house AI research unit. Work closely with a diverse team of clinicians, researchers, and institutional leaders. Access to rich clinical datasets and institutional support for high-impact research. We are an independent and non-profit cancer research organisation based in Malaysia. Funded by donations and research grants, we conduct research in niche cancers often found in our Asian population. Cancer — the big ‘C’ — continues to be a stigma, only spoken about in hushed whispers; how it’s bad karma, how much it costs, and that nothing could be done. Confronting this stigma head on, CRM has been reversing this language of cancer, transforming the big ‘C’ to a little ‘c’, and we plan to develop tools backed by good research to ensure that we can truly fight cancer on all fronts. We believe that we will reverse the grip of cancer in our lives. We want researchers to win the war against cancer by turning it around with new ways of prevention and cure. We want to empower the public through impactful outreach programmes, with the hopes that Malaysians will respond differently to cancer by coming forward for screenings and going through with treatments. Our driving force is held together by these goals: Improving the survival rates of Asian cancer patients, focusing on neglected areas of research. Empowering Asians to have the proper screening and treatment. Improving survival rates by being more accessible, focusing on providing existing cures to patients rather than sit on inaction and potentially losing lives. Making affordable and timely treatments by repurposing drugs, acknowledging the reality that developing new cures are costly and risky. Putting Malaysia in the global spotlight for cancer research by collaborating with top scientists around the world,and working to nurture the next generation of Malaysian cancer researchers.

#J-18808-Ljbffr

**Clinical Specialist Consultant - Chinese Speaking (Simplified, China)**
**Location:** **Remote/virtual**
**Hours:** **Estimated 10-16h/month**
**Role:** **Clinical Specialist**
Job Description:
The Clinical Specialist reviews scales administered by raters in a clinical trial to ensure that assessments are being conducted in a standardized manner to ensure data reliability. The quality of assessments is evaluated, and live interaction with raters is conducted to discuss assessment methodology, scoring technique, and to provide guidance, as necessary. Other Clinical Specialist responsibilities may include, but are not limited to, functional assessments of rater performance (e.g., mock interview) and assistance in preparing and disseminating communications.
**Required Experience, Knowledge, Skills:**
- Minimum of a master's degree (MA/MS) in Psychology, Counseling, Psychiatric Nursing or Social Work, or equivalent. MD, DO or PhD preferred
- Minimum of 3 years' experience administering psychiatric assessments, ratings scales and/or structured clinical interviews. Specifically, **EQ-5D-5L (Interviewer administered and Proxy 1 version) & mRS** .
- Minimum of 3 years clinical experience with related psychiatric populations.
- Minimum of 3 years' experience with administering scales in clinical research trials (not including graduate/doctoral research work).
- Experience in central nervous system (CNS) trials preferred.
- Strong interpersonal skills with ability to interact with all levels of personnel and clientele in a professional manner.
- Excellent organization, attention to detail, time management and problem-solving skills.
- Computer proficiency with Windows and Microsoft Office system and applications.
**Tasks/Responsibilities:**
- Participate in all orientation, training and calibration activities as required.
- Evaluate case data and appropriately prepare for discussions with raters (e.g., prepared to discuss relevant issues and scale items, and have necessary documents available).
- Complete rater interactions and assigned tasks as scheduled.
- Responsible for timely submission of all documentation associated with assigned tasks.
*Current openings require fluency in English and a native speaker in the language needed for the trial.
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IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
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