Sean McFarlane

Senior Biostatistician with over four years of experience in statistical analysis and leadership, enhancing data-driven decision-making in clinical research at Northwell Health. Proficient in SQL, R, and data visualization, applying advanced methodologies such as survival analysis and mixed-effects models to assess pharmaceutical efficacy and safety. Committed to fostering collaborative environments and delivering innovative solutions that improve health outcomes.

With four years of experience in biostatistics, I specialize in analyzing complex clinical data and developing statistical models to assess the efficacy and safety of new pharmaceuticals. I apply advanced techniques such as survival analysis and mixed-effects models, collaborate with multidisciplinary teams, and contribute to regulatory submissions and study reports. My expertise includes guiding study design, performing statistical analyses for clinical trials, and enhancing data-driven decision-making.

Prior to my career in biostatistics, I competed at the professional level, where I developed strong discipline, teamwork, and performance optimization skills. My athletic background has enhanced my ability to thrive in high-pressure environments and collaborate effectively, which I now apply to research and data analysis in biostatistics.

Throughout my academic journey, I completed a variety of courses that provided a deep understanding of epidemiology, statistics, and data science, enhancing my ability to analyze and interpret public health data. Key courses included:

Principles of Epidemiology - Gained foundational knowledge in epidemiologic study designs, data collection, and disease distribution.

Probability - Developed expertise in probabilistic models and their application in risk assessment and data analysis.

Data Science I - Learned programming and data manipulation techniques using statistical software, enabling efficient analysis of large datasets.

Statistical Inference - Mastered techniques for hypothesis testing, confidence intervals, and p-values to draw meaningful conclusions from clinical data.

Biostatistical Methods I - Focused on applying biostatistics to public health research, including the use of advanced statistical methods for clinical and epidemiological studies.

These courses, combined with my background in psychology, have provided me with a comprehensive skill set in biostatistics, making me adept at interpreting complex data, designing robust studies, and contributing meaningfully to healthcare research.