jobs in National University Of Singapore

Full Time Teaching Assistant, Biomedical Informatics Jobs, in National University Of Singapore Central Region (Singapore) - Maukerja

Teaching Assistant, Biomedical Informatics

Queenstown, Central Region (Singapore)

Share
Save

Working Location

  • Queenstown Central Region (Singapore) Singapore

Job Description

Responsibilities

Job Title: Teaching Assistant, Biomedical Informatics
University-Level Unit: Yong Loo Lin School of Medicine
Faculty/Department-Level Unit: Surgery
Employee Category: Other Teaching Staff
Location_ONB: Kent Ridge Campus
Posting Start Date: 30/09/2026

Job Purpose

Support faculty and course owners in the teaching delivery and teaching administration of Biomedical Informatics programmes, with a primary focus on the MSc in Biomedical Informatics.

Key Responsibilities

  • Support faculty in preparing teaching, tutorial, workshop and assessment materials.
  • Provide onsite support for lectures, tutorials, workshops and practical sessions, including classroom setup and teaching logistics.
  • Maintain Canvas course sites, including uploading teaching materials, announcements, assignments, rubrics and learning resources.
  • Support assessment administration, including setting up submissions, tracking deadlines, checking submissions and maintaining assessment records.
  • Collate and maintain marks and grading records, and follow up with faculty on outstanding marks or grading matters.
  • Support students on teaching related matters including Canvas, course materials, submissions and assessment timelines.
  • Support capstone teaching activities including project tracking, presentations and assessment related coordination.
  • Maintain teaching files, assessment documents, Canvas records and course delivery documentation.

Requirements

  • Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Business Analytics, Information Systems, Software Engineering or a related discipline.
  • Preferably 1 to 3 years of relevant teaching support, academic support or industry experience.
  • Familiarity with Learning Management Systems such as Canvas.
  • Basic knowledge of data analytics, AI, programming or related technical tools would be advantageous.
  • Strong organisational and communication skills with good attention to detail.
  • Able to manage multiple teaching and assessment timelines and work closely with faculty and students.
  • Proactive, service oriented and comfortable providing onsite teaching support.

Important Information

Never provide your bank or credit card details when applying for jobs. Do not transfer any money or complete unrelated online surveys. If you see something suspicious, Report this Job ad.

Learn More