Research Assistant (Healthcare Artificial Intelligence and Data Analytics)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 40,000 - 55,000; Full time

Job summary

A leading research university in Singapore is seeking a Research Assistant for the 'Healthcare Artificial Intelligence and Data Analytics' project. The role involves developing AI technologies to solve healthcare challenges and requires a Bachelor's Degree in relevant fields, along with experience in statistical analysis or machine learning. Excellent communication and independent work skills are essential. The position offers exposure to diverse industrial partnerships and opportunities for international collaboration.

Qualifications

• Excellent academic record required.
• Publications in top AI conferences or journals are a plus.
• Strong mathematics skills.

Responsibilities

• Apply and develop machine learning and AI technologies for healthcare.
• Manage, extract, and preprocess data for projects.

Skills

Independent and self-driven worker

Excellent written and verbal communication skills

Knowledge in statistical analysis or machine learning

Programming languages: Python or R or C++

Strong foundations in machine learning

Programming languages: Python, R, or C++

Strong foundations in machine learning

Education

Bachelor’s Degree in Computer Science, Engineering, Mathematics, or Statistics

Tools

PL-SQL/Trans-SQL

GPU-based computation

Job description

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant
For “Healthcare Artificial Intelligence and Data Analytics”

The above positions are now available to support the Principal Investigator, Assoc 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 a cross-disciplinary scientist, 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 has been recognized by journals such as Science Translational Medicine and conferences such as KDD, AAAI and AMIA.

The selected candidates will be working in a cross-disciplinary team consisting of data scientists, physicians, post-docs, PhD students and faculty members from NUS, NUH and SGH. The candidates will work on healthcare projects funded by our Ministry of Health, Health Promotion Board and AI Singapore. As Dr. Feng is an affiliated scientist, his lab collaborates 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 organized the annual NUS-MIT Healthcare AI Datathon (www.nus-datathon.com), which has been covered by 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 partnering companies such as MSD, PingAn, Google, Intel, Nvidia, IBM, SAP, and other local and international start-ups.

Responsibilities

• Major responsibility is to apply and develop machine learning and AI technologies to solve healthcare challenges raised by clinical collaborators.
• Involved in managing, extracting and pre-processing data for various projects.

Qualifications

• 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; programming language: Python or R or C++; publications in top AI conferences or journals.
• Good proficiency and experience in the following areas (plus): PL-SQL/Trans-SQL; GPU-based computation; strong in mathematics; strong foundations in machine learning.

This position will be initially available for one year. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Recruitment is open immediately and will continue until the positions are filled. To apply please apply to the NUS Career Portal.

• Cover letter highlighting career goals and relevant experience
• Curriculum Vitae, containing details of three named referees

Qualifications

The successful applicants are expected to possess at least the Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, and preferably with relevant experience.