- Location
- Singapore, Singapore, Singapore · published
- Workplace
- Hybrid
- Type
- Internship
- Department
- IT
- Seniority
- Internship
- Source
- Workable
Description
Internship period: Min. 5 months, from January 2027
Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.
We create evidence-based, personalized health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.
To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.
We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realize their full potential, who in turn have the opportunity to continuously drive innovation.
We have opportunities for you to grow your career path and are looking for talented professionals to join our team.
What will you do?
- Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
- Perform on-site or off-site data collection, data organization, storage and processing
- Develop data-driven solutions and insights using data mining, statistical modelling, machine learning and deep learning methods
- Explore and prototype applications of generative AI and large language models (LLMs) for personalized health insights and behavioral nudging
- Use AI-assisted tools (e.g. coding assistants, AI research agents) to accelerate analysis, development and literature review, while critically validating their outputs
- Perform algorithm testing and validation, including evaluation of AI and LLM model outputs
- Documentation of research, experiments and modelling findings/results
- Opportunity to be the co-author of our research publications