• Teach the application of statistical techniques specifically tailored for epidemiological research including logistic regression, Poisson regression, and survival analysis.
• Supervise students in the statistical analysis of epidemiological data using specialized software such as STATA, SPSS, and R.
• Conduct research on statistical approaches to handling confounding, effect modification, and missing data in epidemiological studies.
• Train students in sample size calculations and statistical power considerations for epidemiological investigations.
• Develop teaching materials on the use of epidemiological data for public health decision-making.
• Guide students in the preparation of statistical sections for research proposals and manuscripts.
• Collaborate with epidemiologists on the analysis of population-based health surveys and surveillance data.
• Setting, moderating, invigilating and marking examinations.

REQUIREMENTS: PARTTIME LECTURER

• i. Applicants should hold a PhD or a master's degree qualification in a relevant field from a recognized academic institution; and possess vast teaching or industry experience at undergraduate/postgraduate levels.
• ii. Applicants must have served as a Lecturer or equivalent industry experience in a university or institution recognized by the Senate of JOOUST.
• iii. Demonstrate potential for university teaching and/or research;
• iv. At least two (2) years teaching experience in a university.
• v. Master's holders registered for PhD may be considered
• vi. Be registered with the relevant professional body as required by the field of specialization.

TERMS AND CONDITIONS OF SERVICE

The successful candidates will be offered a competitive remuneration package in accordance with the existing Terms and Conditions of Service.

• Teach the application of statistical techniques specifically tailored for epidemiological research including logistic regression, Poisson regression, and survival analysis.
• Supervise students in the statistical analysis of epidemiological data using specialized software such as STATA, SPSS, and R.
• Conduct research on statistical approaches to handling confounding, effect modification, and missing data in epidemiological studies.
• Train students in sample size calculations and statistical power considerations for epidemiological investigations.
• Develop teaching materials on the use of epidemiological data for public health decision-making.
• Guide students in the preparation of statistical sections for research proposals and manuscripts.
• Collaborate with epidemiologists on the analysis of population-based health surveys and surveillance data.
• Setting, moderating, invigilating and marking examinations.

• Statistical analysis
• Logistic regression
• Poisson regression
• Survival analysis
• STATA
• SPSS
• R
• Research methodology
• Sample size calculation
• Statistical power considerations
• Data analysis
• Teaching
• Supervision
• Communication
• Collaboration

• PhD or Master's degree in a relevant field
• Vast teaching or industry experience at undergraduate/postgraduate levels
• Served as a Lecturer or equivalent industry experience in a university or institution recognized by the Senate of JOOUST
• Demonstrated potential for university teaching and/or research
• At least two (2) years teaching experience in a university
• Master's holders registered for PhD may be considered
• Registered with the relevant professional body as required by the field of specialization