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Lecturer in Data Science

Global Institute of Technology
Cambridge, MA
Salary Estimate
USD 80.000 – USD 110.000
Posting Time
5 Mei 2026
Deadline
5 Mei 2027

Job description

Global Institute of Technology invites applications for a full-time Lecturer in Data Science. The successful candidate will deliver undergraduate and graduate courses, contribute to curriculum development, supervise capstone projects, and collaborate with industry partners to provide a dynamic, hands-on learning experience.

Responsibility

  • Deliver engaging lectures and lead seminars for undergraduate and graduate students in Data Science.
  • Design, update, and align course syllabi, assessments, and learning outcomes with program goals.
  • Supervise capstone projects and theses; provide timely feedback and mentorship.
  • Collaborate with faculty across disciplines to enhance interdisciplinary data science education.
  • Develop and integrate experiential learning, industry partnerships, and real-world datasets.
  • Contribute to program assessment, accreditation, and continuous improvement efforts.
  • Support inclusive teaching practices and serve as a resource for a diverse student body.
  • Participate in grant proposals, scholarly activity, and service on committees as appropriate.

Qualification

  • Master’s degree in Data Science, Computer Science, Statistics, or a closely related field; PhD preferred.
  • Demonstrated excellence in teaching with evidence (evaluations, peer reviews, teaching portfolios).
  • Minimum 3 years of teaching experience or professional practice in data science, ML, or analytics.
  • Proficiency with Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Strong communication, collaboration, and mentoring skills; ability to engage diverse learners.
  • Experience with curriculum design, assessment, and outcome-based education.
  • Commitment to inclusive pedagogy, accessibility, and student success.
  • Eligibility to work in the United States and willingness to contribute to a research-aligned teaching culture.

Required Skills

Data Science Python R SQL Machine Learning Statistics Curriculum Design Pedagogy Assessment Public Speaking

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