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Lecturer​/Senior Lecturer, Data Literacy Programme

Job in President, Venango County, Pennsylvania, USA
Listing for: NUS Centre for Cancer Research (N2CR) | NUS Medicine
Full Time position
Listed on 2026-06-12
Job specializations:
  • Education / Teaching
    University Professor, Adult Education, Training Consultant
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Lecturer / Senior Lecturer, Data Literacy Programme
Location: President

Lecturer / Senior Lecturer, Data Literacy Programme

National University of Singapore (NUS), Kent Ridge Campus

Posted on 17 December 2025

Responsibilities
  • Develop innovative teaching materials that bring AI and machine learning concepts to life.
  • Create dynamic eLearning videos to reach a wider audience.
  • Design challenging assessments to sharpen learners’ analytical skills.
  • Facilitate classroom discussions and lead hands‑on sessions with diverse learners.
  • Offer one‑on‑one consultations to help learners grasp complex concepts and excel.
  • Supervise group projects that allow learners to apply their skills in real‑world contexts.
  • Contribute to the academic community through service activities and collaborative projects.
Qualifications
  • At least a Master’s degree in data science, machine learning, artificial intelligence, statistics, mathematics, computer science, or a related field (other fields considered on a case‑by‑case basis).
  • Teaching experience preferred but enthusiasm and clear communication of complex ideas also valued.
  • Collaborative mindset with a willingness to work in teams and support learners.
  • Experience in artificial intelligence or cutting‑edge AI technologies is a significant advantage.
  • Hands‑on experience with machine learning techniques.
  • Proficiency in Python or R.
  • Skill in data visualization to make insights compelling.
  • Passion for adult learning and ability to tailor teaching to learners from varied backgrounds.
Benefits

Opportunity to shape the next generation of data professionals and stay at the forefront of AI and machine learning in a vibrant academic setting. Professional growth and career development are supported.

How to Apply
  • A Cover Letter highlighting relevant experience and motivation for the role.
  • Curriculum Vitae (CV) detailing qualifications and work experience.
  • Academic Transcripts.
  • Evidence of effective teaching (e.g., student feedback), if available.
  • Teaching Philosophy statement describing teaching goals and approaches.
  • Teaching History:
    Summary of modules taught, if applicable.
  • Two reference letters.
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Position Requirements
10+ Years work experience
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