Job description
Harborview University invites applications for a full-time Lecturer in Data Science within the Department of Computer Science. The ideal candidate is a skilled educator with a strong data science background, a commitment to student success, and the ability to contribute to an interdisciplinary program that prepares students for industry and academia.
We seek a forward-thinking instructor who can foster hands-on learning, guide capstone projects, and collaborate with faculty and industry partners to keep curricula current and impactful.
Responsibility
- Teach core data science courses (e.g., Introduction to Data Science, Statistics for Data Science) and elective offerings at undergraduate and master’s levels.
- Design, update, and evaluate syllabi, course materials, and assessments to maximize learning outcomes.
- Mentor students, supervise capstone and project-based work, and advise on academic planning.
- Lead and participate in curriculum development, program assessment, and accreditation activities.
- Collaborate with industry partners to coordinate internships, guest lectures, and real-world projects.
- Foster inclusive teaching practices and support a diverse student body through accessible instruction.
- Engage in scholarly activity and contribute to department goals through research or applied practice.
- Provide service to the department and university, including committee work and outreach.
Qualification
- Master’s degree in Data Science, Computer Science, Statistics, or a closely related field; PhD preferred for senior-level courses.
- Minimum of 3 years of university-level teaching experience with demonstrated effectiveness in student engagement.
- Strong proficiency in data science tools (Python, R, SQL) and machine learning techniques.
- Experience designing student-centered curricula and implementing active learning strategies.
- Excellent communication, teamwork, and mentoring skills; commitment to inclusivity and accessibility.
- Ability to teach in-person and online/hybrid formats; proficiency with learning management systems (Canvas, Blackboard, etc.).
- Evidence of ongoing professional activity or research in data science or related fields; willingness to pursue scholarly work.
- Legal right to work in the United States and ability to obtain any necessary clearances.