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To operate effectively as part of a team of academic, technical, and administrative colleagues in order to facilitate learning and the advancement of knowledge through teaching, research/publication, consultancy and administration, The Research Fellow is also expected to lead the design, development, and reporting of research studies for CMNHS. The incumbent is also expected to undertake (primary and secondary) research and administer research projects, mentor mid-career researchers. and support research publications.
Job Responsibility:
Provide advice to students and staff choice of statistical analysis strategies, reliability of measurements and interpretation and presentation of statistical results
Support students and staff on using a variety of advanced statistical software, methods, and techniques to gather, analyze, and interpret research data to derive useful information for research data
Provide training on statistical software, as appropriate
maintains knowledge of current and emerging trends in statistical analysis methodology
Mentor staff with statistical support
Provide technical support and guidance on data management principles and regulatory requirements for clinical trials and medical research
Performs any other work as assigned
Requirements:
PhD in Biostatistics, Statistics, Epidemiology, Data Science, or a closely related field
Demonstrated experience in applied statistical analysis in health research
Experience in teaching or training in biostatistics or research methods
Track record of peer-reviewed publications
Experience supporting or leading research design and data analysis for multidisciplinary projects
Proficiency in statistical software (e.g., Stata, R, SPSS)
Nice to have:
Experience supervising postgraduate students (Masters/PhD)
Experience working in low- and middle-income or Pacific contexts
Experience in grant writing and research funding acquisition
Familiarity with clinical trials or large-scale public health datasets
Experience contributing to policy-relevant research