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Career Advancement Programme in Clinical Research Statistics
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- Introduction to Clinical Research Statistics
- Statistical Programming in R (or SAS) for Clinical Trials
- Clinical Trial Design and Methodology
- Statistical Analysis of Clinical Trial Data
- Survival Analysis in Clinical Research
- Regulatory Guidelines for Clinical Trial Reporting (ICH-GCP)
- Sample Size and Power Calculation
- Advanced Statistical Modeling Techniques in Clinical Trials
- Pharmacovigilance and Safety Data Analysis
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Career Role Description Clinical Research Statistician (Primary: Statistician, Clinical Research; Secondary: Data Analysis, Biostatistics) Designs and analyzes clinical trial data, ensuring regulatory compliance.
A crucial role in drug development and approval.
Senior Clinical Research Statistician (Primary: Statistician, Senior; Secondary: Clinical Trials, SAS Programming) Leads statistical teams, mentors junior statisticians, and contributes to strategic decision-making in clinical research projects.
High demand role with significant impact.
Biostatistician (Primary: Biostatistician, Clinical Research; Secondary: Statistical Modelling, Pharmacovigilance) Focuses on statistical aspects of biological and health data, often working with large datasets and complex models.
A vital role in pharmaceutical and biotech industries.
Statistical Programmer (Primary: Programmer, Statistical; Secondary: SAS, R, Clinical Data) Develops and maintains statistical programs, ensuring accurate and efficient data analysis within clinical trials.
High demand for proficiency in programming languages.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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