Statistics Lecturer (Part Time)

About the role

Brites Management Services is recruiting a part-time Statistics Lecturer for a higher education programme based in Karen, Magadi Road. The role covers teaching and supporting students across the allocated module(s), with a salary based on hourly rates.

Key responsibilities

• Deliver scheduled lectures, revision sessions and other teaching activities for the allocated module(s).
• Prepare lesson plans, presentation materials, case studies, classroom activities and other teaching resources.
• Familiarise yourself with the University of London Virtual Learning Environment (VLE), module specifications, learning outcomes and teaching resources.
• Assign readings, learning activities and independent study tasks, keeping the department informed via Google Classroom or email.
• Structure teaching around module learning outcomes and assessment requirements.
• Run revision sessions, mock examinations and exam-preparation activities as required.
• Monitor attendance, student progress and engagement, and give academic guidance and feedback on coursework and exams.
• Encourage students to complete assignments without plagiarism and upload them to the VLE.
• Attend faculty meetings, academic briefings and other programme meetings, and keep the Campus Coordinator informed of any issues affecting teaching.
• Maintain accurate records of attendance, assessments and academic activities, including lesson plans and the E-Academic file, and update syllabus progress in a shared Google Sheet.
• Uphold academic integrity, professionalism and ethical standards, and comply with University of London academic policies.

Required profile

• Degree in Statistics, Applied Statistics, Biostatistics, Data Science, Mathematics or a closely related discipline from a recognised university.
• A Master's degree in a relevant discipline is an added advantage.
• Previous university or higher education teaching experience is preferred.
• Experience teaching University of London or other international programmes is an added advantage.

Required skills

• Experience using statistical software packages is desirable.

To apply, send your CV to the recruiter by email; interviews are held on a rolling basis until the position is filled, and only shortlisted candidates will be contacted.