About this role
We are looking for multiple Research Assistants to participate in a new AI in Healthcare project at the Institute of Data Science (http://ids.nus.edu.sg/) and the School of Computing (https://www.comp.nus.edu.sg/), National University of Singapore. The project is funded under the “AI in Health Grand Challenge” (https://www.aisingapore.org/grand-challenges/health/) by AI Singapore, led by Professors Wynne Hsu, Mong-Li Lee, See-Kiong Ng and Chee-Yong Chan together with clinicians from Singhealth, which is one of Singapore’s largest healthcare provider. Interested individual please send your cover letter and resume to email 
Job Summary:
The Research Assistant will be responsible for designing and implementing efficient and robust systems, and applications for algorithms and methodologies based on state-of-the-art research in data science, machine learning, artificial intelligence and big data. He/she will be working closely with the Principal Investigator and lab members on one or more research projects with external collaborators on interesting and challenging real-world datasets and problem statements.
Responsibilities:
• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in data science, machine learning, artificial intelligence, and big data
• Research and deploy state-of-the-art data science and AI programming and application development tools
• Perform data cleansing and processing for analysis of real-world datasets
• Assists with the editing and preparation of manuscripts, reports and presentations.
• Participate in research discussions with lab members and Principle Investigators
• Participate in presentations and demos for exhibiting work at appropriate events
• Attends project meetings involving external collaborators
Company:
National University of Singapore
Qualifications:
• Bachelors or Masters in Computer Science or related disciplines with a focus in AI/Machine Learning/Big Data
• Candidate must be able to work within fast moving, ‘hands-on’, results orientated environments. S/he will have a ‘can do’ attitude and be passionate about building and developing new ideas and models
• Solid programming and application development skills with experience in Python/Perl/R. Mastery of programming languages such as C/C++/Java, and experience with Tensorflow would be a plus
• Ability to read and understand methodologies in research papers
• Familiarity with AI applications for healthcare is a plus.
Language requirements:
• Fluent in English and good team-player
Educational level:
Bachelor’s Degree