Biostatician

Job Purpose

To provide statistical and analytical support for institutional research, clinical studies, epidemiological investigations, academic activities, and evidence-based decision-making. The position is responsible for study design, statistical methodology, data management, statistical analysis, interpretation, and presentation of research findings to support scientific research, quality improvement, clinical practice, and institutional planning.

Key Duties and Responsibilities

1. Provide technical guidance on the application of appropriate statistical methods in clinical, epidemiological, public health, and institutional research. 2. Collaborate with researchers and multidisciplinary teams in developing research protocols, study designs, statistical analysis plans, and data collection tools. 3. Advise research teams on appropriate sampling techniques, sample size determination, statistical power, and study methodologies. 4. Develop, design, program, and manage statistical databases for research studies and institutional data analysis. 5. Establish appropriate data management procedures to ensure data accuracy, completeness, consistency, confidentiality, and integrity. 6. Develop and validate electronic data collection tools and databases for research and clinical studies. 7. Conduct data cleaning, coding, validation, classification, and processing before statistical analysis. 8. Perform descriptive and inferential statistical analyses using appropriate statistical software and methodologies. 9. Apply statistical techniques to assess relationships, associations, trends, differences, and outcomes in research data. 10. Conduct regression analysis, survival analysis, comparative analysis, and other advanced statistical procedures where required by research objectives. 11. Interpret statistical findings and provide technical explanations to researchers, clinicians, and other stakeholders. 12. Prepare statistical tables, graphs, charts, and analytical reports for research publications, presentations, and institutional decision-making. 13. Support the preparation of scientific manuscripts, research reports, abstracts, and conference presentations through statistical analysis and interpretation. 14. Review research proposals and manuscripts to assess the appropriateness of statistical methods and the validity of data analysis. 15. Ensure that statistical methodologies are consistent with research objectives, study designs, and accepted scientific standards. 16. Provide technical support in monitoring and evaluating clinical research projects, intervention programmes, and institutional initiatives. 17. Support the development and implementation of data quality assurance procedures and statistical reporting standards. 18. Conduct routine data quality assessments to identify inconsistencies, missing information, errors, and potential biases. 19. Maintain proper documentation of statistical procedures, databases, analytical codes, and research datasets. 20. Ensure confidentiality, secure storage, and appropriate access to research data in accordance with ethical and institutional requirements. 21. Support researchers in the use of statistical software and data analysis tools. 22. Train and mentor researchers, students, and other staff in basic and advanced statistical methods and research data management. 23. Participate in research seminars, scientific meetings, academic supervision, and multidisciplinary research activities. 24. Support the development of institutional research databases and evidence-based information systems. 25. Contribute to the preparation of research performance reports, scientific publications, and institutional research outputs. 26. Keep abreast of emerging statistical methodologies, analytical tools, and developments in research data management. 27. Perform any other related duties assigned by the immediate supervisor.

Expected Outputs / Deliverables

- Research study designs and statistical analysis plans. - Sample size calculations and sampling methodologies. - Functional and properly maintained research databases. - Clean, validated, and quality-assured research datasets. - Statistical analysis reports and interpreted findings. - Research tables, graphs, and scientific presentations. - Technical contributions to research proposals and publications. - Data quality assessment reports. - Training and mentorship provided to researchers and students.