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National University Of Singapore Hiring! Full Time Research Assistant (Surgery) in Central Region (Singapore) - Ricebowl

Queenstown, Central Region (Singapore)

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Working Location

  • Queenstown Central Region (Singapore) Singapore

Job Description

Responsibilities

Job Title: Research Assistant (Surgery)
University-Level Unit: Yong Loo Lin School of Medicine
Faculty/Department-Level Unit: Surgery
Employee Category: Research Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 21/10/2026

Job Description

The Yong Yoo Lin School of Medicine (YYLSoM) at the National University of Singapore (NUS) is recruiting a full-time, experienced research assistant to develop and evaluate breast cancer risk prediction models in cancer study in Singapore. This role offers the opportunity to contribute to cutting-edge research, collaborate with a team of experts, and work on cancer research.

Job scope:

  • To undertake high-quality research, including contributing to drafting major grant proposals and/or leading in drafting small grant proposals;
  • To develop and extend cancer risk prediction models;
  • To support ethics applications;
  • To contribute to peer-reviewed publications and other outputs, including as lead author;
  • Contribute to drafting grant proposals and co-authoring publications.
  • To review the latest research on breast cancer risk, prognosis and survivorship studies.
  • To disseminate research findings through presentations at regional and international conferences.
  • To contribute to the broader research community through journal and grant reviews.
  • To participate in mandatory NUS training and keep abreast of advancements in research methods.

Qualifications

  • Bachelor's or Master's degree in Statistics, Biostatistics, Engineering, Economics, Pharmacy, Public Health, or Computer Science.
  • Experience with quantitative research, preferably related to cancer prediction models.
  • Strong analytical and data management skills using electronic medical records and observational data.
  • Experience with statistical software (e.g., R) and programming languages (e.g., R, C/C++, Python).
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a team.
  • Strong organizational skills and time management.

The following knowledge and experience would be advantageous:

  • Experience contributing to research grant applications.
  • Experience with analysis of data from epidemiological study designs.
  • Experience with data analysis using statistical inference techniques.
  • Experience with health economic evaluations.
  • Experience with parallel and/or high-performance computing.

Competencies

Clearly communicates Faculty's/Department's policies
Faculty members' concerns are handled well by the incumbent and his/her team of administrators

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