Research Assistant, Healthcare Artificial Intelligence and Data Analytics
4 days left
- Full Time
For “Healthcare Artificial Intelligence and Data Analytics”
The above positions are now available to support the Principal Investigator, Assistant Professor Feng Mengling, for his research in the areas of healthcare data analytics and AI solutions.
Dr. Mengling Feng (https://www.mornin-feng.com/) is truly a cross-disciplinary scientists, who is currently a faculty member of the School of Public Health, School of Computing and School of Medicine, National University of Singapore (NUS). He is also the Senior Assistant Director working directly with the Chief Technology Officer (CTO) and Chief Medical Information Officer (CMIO) at National University Hospital (NUH). Dr. Feng is also an affiliated scientist with MIT. His research is to develop effective data analysis and machine learning methods to extract actionable knowledge from medical big data to improve the quality of care. Dr. Feng’s work was recognized by both well-established journals, such as Science Translational Medicine, and top international conferences, such as KDD, AAAI and AMIA.
Cross-disciplinary and International AI Lab
The selected candidates will be working in a cross-disciplinary team consists of data scientists, physicians, post-docs, PhD students and well respected faculty members from NUS, NUH and SGH. The candidates will be working on healthcare projects funded by our Ministry of Health, Health Promotion Board and AI Singapore. As Dr. Feng is an affiliated scientist, his lab constantly work with faculties and students from the Harvard-MIT Health Science Technology division. Dr. Feng has over 20 joint publications with Harvard and MIT between 2017 and 2019. He has also been organizing the annual NUS-MIT Healthcare AI Datathon (www.nus-datathon.com) , which were covered by many local news channels.
Potential Industrial and Overseas Exposure
Dr. Feng collaborates closely with various local and international industrial partners. Members in Dr. Feng’s team often have opportunities to work as affiliated scientists in our partnering companies, such as MSD, PingAn, Google, Intel, Nvidia, IBM, SAP, Philips, local and international start-ups.\
Responsibilities and requirements
Major responsibility of the selected candidate is to apply and develop machine learning and AI technologies to solve healthcare challenges raised by our clinical collaborators. The selected candidate will also be involved in managing, extracting and pre-processing data for various projects.
Required personal skills:
- An independent and self-driven worker and a fast learner
- Well- organized and has an eye for details
- Excellent written and verbal communication skills
- Ability to work effectively with colleagues to achieve team goals
Essential technical skills:
- Excellent academic record
- Knowledge and experience in statistical analysis or machine learning
- Programing language: Python or R or C++
Good proficiency and experience in the following areas is a plus:
- Experience with the PL-SQL/Trans-SQL
- Knowledge and experience in GPU-based computation
- Strong in Mathematics
- Strong foundations in machine learning
- Candidates with publications in the field of machine learning are preferred
The successful applicants are expected to possess at least the Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, and preferably with relevant experience.
Location: Kent Ridge Campus
Organization: Saw Swee Hock School of Public Health
Department : Dean's Office (SSH Sch of Public Health)
Employee Referral Eligible: No