Job Description

Employment Type: Part-Time / Full-Time (Online Teaching)

We are seeking a highly qualified and experienced Online Faculty member to teach in the Statistics program. The ideal candidate will hold an MSc in Statistics or a closely related discipline and have strong expertise in advanced statistical theories, methods, and applications. The role includes delivering online lectures, guiding students, preparing course materials, evaluating assessments, and supporting academic activities.

Key Responsibilities

Deliver high-quality online lectures and tutorials for Statistics courses. Develop, update, and maintain course materials and learning resources. Conduct assessments and evaluate student performance with constructive feedback. Support student learning through academic guidance and online discussions. Contribute to curriculum enhancement and academic quality assurance. Participate in faculty meetings, training sessions, and professional development activities.

Required Qualifications

MSc in Statistics, Applied Statistics, Data Science, Mathematics, or a related field. Teaching experience at the postgraduate level (online teaching experience preferred). Strong knowledge of statistical modeling, probability, data analysis, and research methodology. Familiarity with online learning platforms and digital teaching tools. Excellent communication and interpersonal skills.

Preferred Skills

Proficiency in statistical software: R, SPSS, Python, SAS, STATA, etc. Experience supervising research projects or theses. Ability to engage and motivate online learners.

Salary & Benefits

Salary and other benefits will be discussed during the interview.

Job Types: Full-time, Part-time