Description
Develop and apply biostatistical methods to design studies, analyze biomedical and public health data, and communicate evidence for research, clinical, and regulatory decisions.
- • Write research proposals and grant applications for external funding.
- • Teach graduate or continuing education courses or seminars in biostatistics.
- • Stay current by reading literature, attending conferences, and engaging colleagues across biostatistics and life sciences.
- • Prepare statistical outputs for reports to data monitoring committees, regulators, managers, or clients.
- • Prepare articles for publication or presentation at professional conferences.
- • Calculate sample size and power for clinical and observational studies.
- • Define plans, timelines, and objectives for statistical components of research projects.
- • Assign work to biostatistical assistants or programmers.
- • Program analyses in statistical software and validate code.
- • Draft detailed analysis plans and describe methods and findings for protocols and reports.
- • Plan or direct research studies in the life sciences.
- • Prepare tables and figures to present study data and results.
- • Monitor trials or experiments to ensure protocol adherence and data quality.
- • Draw inferences and make predictions based on statistical analyses.
- • Develop or apply mathematical models to track biological phenomena (e.g., disease spread).
- • Design surveys to assess health issues.
- • Develop or implement data analysis algorithms and workflows.
- • Design research studies in collaboration with physicians, life scientists, and other professionals.
- • Design or maintain databases for biological and clinical data.
- • Collect data through surveys, electronic health records, or experimentation.
- • Analyze archival data, such as birth, death, and disease records.
- • Review research protocols and recommend appropriate statistical analyses.
- • Provide biostatistical consultation to clients or colleagues.
- • Apply research or simulation results to extend biological theory or propose new studies.
- • Analyze clinical and survey data using methods such as longitudinal analysis, mixed-effects modeling, logistic regression, and model building.
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Last reviewed: Jan 2026
