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May to Oct/Dec 2023 Uni internship - Synthetic Data Generation

Date: 27-Feb-2023

Location: SG

Company: IHiS

Are you someone who enjoys problem solving, has a curious mind and more importantly, keen to make a difference in the future of HealthTech?
If so, apply for internship @IHiS.


Check out our IHiS video to learn more about us and our environment where you can bring your ideas to life:


Join us, and #ExperienceHealthTech today for a healthier SG tomorrow!


To mitigate the risks of sharing sensitive health data and overcome the issue of lack of annotated medical data in real-world settings, snythetic data has been used to support more open data sharing by preserving privacy and maintaining utility for development of AI solutions. The aim of the project is to explore different data synthesis algorithms, such as for tabular data, images, text and/or genomic data and present your findings and recommendations in terms of privacy and utility measures. 


As part of this internship,


  • You will learn and explore algorithm development and evaluation. 
  • The model developed would potentially be integrated to an application used by stakeholders.
  • You will also learn to work with stakeholders to translate business problems into data science projects, and develop strategies to identify, acquire and use appropriate data sets to develop practical solutions and support decision making.


Learning outcome:


  • The intern will learn data preparation, descriptive data analytics and deep learning model development. 
  • The intern may be exposed to a variety of data management systems, such as RDBMS. The intern may also be exposed to cloud computing services, such as AWS, for model development. 
  • The intern is required to have experience in Python language for data processing and model development.
  • Knowledge in deep learning algorithms is a plus.


This internship will be at 1 Maritime Square #12-01 Harbourfront Centre Singapore 099253




  • Be pursuing a Bachelor Degree in Computer Engineering, Computer Science, Business Analytics, Data Analytics, Information Systems or related discipline
  • Be graduating in May/December 2024 or May 2025
  • Good team player with strong communication skills with project teams, stakeholders, contractors including both technical and non-technical personnel
  • Passionate about IHiS and keen to make a difference and reimagine the future of HealthTech