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

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

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health

RESEARCH ASSOCIATE IN PUBLIC HEALTH

We are seeking a Research Associate to join a multi-disciplinary research team to conduct public health research, in particular in the area of women’s mental wellbeing.

The position provides the candidate a great opportunity to develop qualitative and quantitative research skills and work with international experts in public health policy, mental wellbeing, and maternal health. The job holder will be an integral part of a research project which examines the role of time use in the mental wellbeing of women with young children in Singapore. Responsibilities will include: literature review, qualitative and quantitative data collection, data analysis, and preparation of scientific papers. The job holder will work closely with Assistant Professor Yvette van der Eijk and members of her research team, as well as local experts in health research and policy.

This full-time position is based at the Tahir Foundation Building at National University of Singapore. The position has a 1 year contract in the first instance, with possibility of extension.

Requirements:
• Masters degree in public health/epidemiology, social sciences, or other relevant discipline.
• At least one year hands-on experience in quantitative data management and analysis using standard software programs (e.g. R, Stata, Python).
• At least one year hands-on experience in qualitative data management and analysis (e.g. semi-structured interview, focus group discussion).
• Keen interest in women’s mental wellbeing.
• Very good written and oral communication skills.
• Fluent in English.

Applicants should include a CV, 1-page cover letter, list of publications (if applicable) or a writing sample, and the names and email contact of 2 referees who may be contacted immediately if shortlisted.

Recruitment is open immediately, and will continue until the position is filled.

For further enquiries, please contact Dr Yvette van der Eijk at [email protected].

Please note that only shortlisted candidates will be contacted.

Qualifications

Masters degree in public health/epidemiology, social sciences, or other relevant discipline.

Overview

Join the NUHS Group Chief Technology Office (GCTO) that advocates flexible and innovative working culture. Successful candidate will be part of a team of Data Scientists and Software Developers who partner clinicians to propose, develop, and implement advanced Artificial Intelligence / machine learning models and pipelines to augment clinical workflows in NUHS cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NUHS.

Key Responsibilities

• Research and develop machine learning models in various clinical areas such as clinical notes, medical images, and patients’ data
• Develop, train and test AI models in the local medical domain
• Work with the team to design and architect the workflow of the data and algorithms including data input, output and storage between various health IT systems
• Lead in the gathering of requirements and data by working and coordinating with clinicians and other relevant internal and external stakeholders
• Work with the team to develop and deploy necessary AI models for NUHS in hybrid cloud environment
• Document clearly explaining how the algorithms have been implemented, verified and validated
• Lead project to deliver AI related research and development requirement to meet the business need

Requirements

• Minimum Bachelor’s degree in computer science or related fields with strong statistical modelling and machine learning skills. Graduate degree in related fields may apply
• Hands-on experience in the development of end-to-end data analytics solutions and machine learning pipeline including data exploration/extraction/crawling, data processing, and model building
• Hands-on experience on development of AI models in NLP is a plus
• Proficient with programming in Python and AI related frameworks such as Scikit-Learn, TensorFlow, and PyTorch
• Knowledge and experience in machine learning platform and services from cloud providers such as AWS, GCP, Azure
• Familiarity with healthcare data, medical image is a plus
• Experience in leading AI projects and virtual team
• Strong problem-solving skills with the ability to work independently and in a team
• Excellent written and verbal communication skills, including the ability to communicate technically and non-technically with ability to translate between the two