Job Title: Research Fellow (Precision Lung Cancer Prevention)
Posting Start Date: 16/03/2026
Job Description
Research Fellow (Precision Lung Cancer Prevention)
A Research Fellow position is available at the Saw Swee Hock School of Public Health to support the Principal Investigator in research projects focused on precision lung cancer prevention and early detection, with an emphasis on risk prediction modelling using artificial intelligence and machine learning.
Major duties and responsibilities include, but are not limited to:
- Conduct data management and analysis of large-scale datasets, including population cohorts, electronic medical records
- Develop and evaluate risk prediction models using statistical and machine learning approaches
- Apply AI/ML methods to improve disease risk stratification
- Prepare research reports, conference presentations, and manuscripts for publication in peer-reviewed journals
- Contribute to grant proposal development and research project coordination
- Mentor graduate students and research assistants
- Collaborate with interdisciplinary teams including epidemiologists, clinicians
Requirements
The candidate must be an independent, highly motivated, and organized researcher with strong analytical skills and a demonstrated ability to work collaboratively in interdisciplinary teams. Strong written and verbal communication skills are required, along with a record of relevant publications in peer-reviewed journals.
Excellent Proficiency In The Following Areas Is Preferred
- Statistical programming and data analysis using R, Python, Stata, or similar tools
- Experience with machine learning or AI methods for health data analysis
- Experience working with large health datasets, cohort studies, or electronic medical records
Qualifications
Applicants should possess a PhD in Epidemiology, Public Health, Biostatistics, Data Science, Bioinformatics, Computer Science, or a related field.
Prior experience in risk prediction modelling, cancer epidemiology, environmental health, health economics, or machine learning applications in health research and screening policy evaluation will be an advantage.
Application
Recruitment is open immediately and will continue until the position is filled.
Interested Applicants Should Submit
- Cover letter describing research interests
- Curriculum vitae
- Contact details of two referees
We regret that only shortlisted candidates will be notified.
More Information
Location: Kent Ridge Campus
Organization: Saw Swee Hock School of Public Health
Department : Saw Swee Hock School of Public Health
Employee Referral Eligible: No
Job requisition ID : 32119
