Develop statistical analysis plans (SAPs) for clinical trials and research studies, ensuring alignment with study objectives.

Perform statistical analyses using software like SAS, R, or Python to interpret clinical trial data.

Collaborate with clinical teams to define study endpoints and design appropriate statistical methodologies.

Write statistical sections for study reports, regulatory submissions (e.g., to the FDA or EMA), and publications.

Ensure data integrity and quality by implementing validation procedures and adhering to regulatory guidelines (e.g., GCP).

Provide statistical support for data management activities, including database design and data cleaning.

Conduct power and sample size calculations to determine the appropriate number of participants needed for studies.

Develop and validate statistical models to predict outcomes and identify risk factors in healthcare data.

Present statistical findings to internal teams, external collaborators, and regulatory agencies.

Stay updated with the latest statistical methodologies and regulatory requirements in the biopharmaceutical industry.

Assist in the development of standard operating procedures (SOPs) for statistical analysis and reporting.

Review and provide feedback on study protocols and case report forms (CRFs) to ensure statistical validity.

Develop and implement statistical models to analyze healthcare data and predict outcomes.

Perform comprehensive data analysis to identify trends, patterns, and insights relevant to public health.

Design and analyze clinical trials to evaluate the effectiveness of new treatments and interventions.

Collaborate with researchers and healthcare professionals to develop study protocols and analyze data.

Prepare detailed reports and presentations summarizing statistical findings for stakeholders.

Manage and clean large datasets to ensure data quality and integrity for analysis.

Develop and refine statistical methodologies for specific research questions and data types.

Provide statistical consultation to researchers and healthcare providers on study design and analysis.

Use statistical software (e.g., R, SAS) to perform data analysis and create visualizations.

Conduct literature reviews to stay updated on the latest statistical methods and research findings.

Implement quality assurance procedures to ensure the accuracy and reliability of statistical analyses.

Assist in writing grant proposals by providing statistical expertise and methodology sections.

Design and implement statistical methodologies for clinical trials and healthcare studies.

Collect, clean, and validate data to ensure accuracy and integrity for analysis.

Perform statistical analyses using software like SAS, R, or Python to interpret results.

Develop statistical models to predict health outcomes and identify risk factors.

Prepare detailed reports and presentations summarizing findings for stakeholders.

Collaborate with healthcare professionals and researchers to define study objectives.

Ensure compliance with regulatory standards and ethical guidelines in data handling.

Contribute to the design of experiments and data collection protocols.

Apply advanced statistical techniques such as regression analysis and survival analysis.

Participate in peer reviews of statistical analyses and research papers.

Stay updated with the latest advancements in biostatistics and data science.

Provide statistical support for grant proposals and research funding applications.