In a recent project, I analyzed clinical trial data to assess the efficacy of a new drug. I used SAS for data manipulation and statistical modeling, including logistic regression and survival analysis. I also utilized R for advanced visualization and to validate results. The project involved handling large datasets, ensuring data integrity, and presenting findings to stakeholders. The tools I used were crucial in managing the complexity and delivering actionable insights.

I follow a rigorous process to ensure accuracy. This includes writing clear, well-documented code, performing multiple rounds of peer reviews, and conducting thorough testing with simulated data. I also validate results against known benchmarks and use version control systems to track changes. By adhering to these practices, I minimize errors and ensure that my outputs are reliable and reproducible.

When encountering data discrepancies, I first identify the source of the anomaly through detailed data profiling and exploratory analysis. I then collaborate with data managers or subject matter experts to resolve the issue. If the discrepancy cannot be resolved, I document the anomaly and its potential impact on the analysis. This approach ensures that my analyses are robust and transparent, even in the presence of data challenges.

I have experience preparing statistical reports for regulatory submissions, including FDA and EMA submissions. One significant challenge was ensuring compliance with stringent regulatory requirements while meeting tight deadlines. I overcame this by maintaining detailed documentation, adhering to standard operating procedures, and collaborating closely with regulatory affairs teams. This ensured that our submissions were both accurate and compliant.

I stay current by regularly attending industry conferences, webinars, and training sessions. I also participate in online forums and read academic journals to keep abreast of new methodologies and tools. Additionally, I engage in continuous learning through online courses and certifications. This proactive approach ensures that I am equipped with the latest knowledge and skills to tackle complex statistical programming challenges.