Breast Cancer Risk Modeling Research Associate

National University of Singapore; Singapore; On-site; SGD 42,000 - 66,000; Full time

Job summary

The Yong Yoo Lin School of Medicine at the National University of Singapore is seeking a full-time, experienced research assistant to develop and evaluate breast cancer risk prediction models in Singapore. The role offers opportunities to contribute to cutting-edge cancer research and collaborate with a multidisciplinary team.

You will develop and extend prediction models, assist with grant proposals, ethics submissions, and contribute to publications.

Qualifications

• Bachelor's or Master's degree in a relevant field (Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or CS).
• Experience with quantitative research, preferably cancer prediction models.
• Strong analytical and data management skills with EMR and observational data.
• Experience with statistical software (R) and programming languages (R, C/C++, Python).
• Excellent written and verbal communication; ability to work independently and in a team.

Responsibilities

• Conduct high-quality research and draft grant proposals or contribute to small grant proposals.
• Develop and extend cancer risk prediction models.
• Support ethics applications.
• Contribute to peer-reviewed publications and other outputs, including as lead author.
• Review latest research on breast cancer risk and survivorship; disseminate findings at conferences.
• Participate in mandatory NUS training and stay updated on methods.

Skills

Quantitative research

Data management

Written communication

Verbal communication

Independent work

Team collaboration

Time management

Education

Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science

Tools

R

Python

C/C++

Job description

The Yong Yoo Lin School of Medicine at the National University of Singapore is seeking a full-time, experienced research assistant to develop and evaluate breast cancer risk prediction models in Singapore. The role offers opportunities to contribute to cutting-edge cancer research and collaborate with a multidisciplinary team.

You will develop and extend prediction models, assist with grant proposals, ethics submissions, and contribute to publications.