SAS Programmer in Clinical Trials

As a SAS Programmer at PSI, your main responsibilities will include managing complex datasets from various sources, programming and producing data listings and tables for Clinical Data Reviewers, and setting up Risk-based Monitoring systems. You'll collaborate cross-functionally to identify study challenges and employ advanced analytics to find effective solutions, while also communicating your findings clearly to key stakeholders.

To be considered for the SAS Programmer role at PSI, you should have a degree in Data Science, Mathematics, Statistics, or Computer Science. You’ll need at least four years of SAS programming experience in the clinical or pharmaceutical domain, along with a minimum of two years in data engineering. Proficiency in both English and Spanish is essential, alongside strong analytical skills.

For the SAS Programmer position at PSI, familiarity with SAS programming is mandatory, but experience with SQL programming is highly advantageous. Knowledge of CDISC SDTM standards and experience with the CluePoints Risk-Based Monitoring system are also valuable assets that can enhance your application.

At PSI, we’re committed to the professional development of our employees. As a SAS Programmer, you will benefit from an extensive onboarding and mentorship program that empowers you to excel in your role. Additionally, our constant growth results in numerous opportunities for personal and professional advancement in your career path.

Working at PSI as a SAS Programmer comes with excellent benefits, including a competitive salary, flexible working hours, a supportive team environment, and health insurance coverage. You’ll also enjoy additional perks like a sports card, lunch card, and opportunities for a healthy work-life balance, ensuring both your professional and personal needs are met.

In your response, detail specific projects where you utilized SAS programming. Highlight the complexity of the data sets you handled and any methodologies you employed. Showcase any outcomes you improved through your programming skills to demonstrate your impact on the trials.

Discuss your methodical approach to data management. Include techniques for data cleaning, such as identifying outliers and ensuring accuracy. Reference any tools or SAS-specific functions you use, and highlight the importance of data integrity in clinical trials.

Share any past roles where you contributed to Risk-Based Monitoring systems. Describe your involvement in selecting tools and training teams. This will show your comprehensive understanding of how RBM compliments clinical data management.

Acknowledge the importance of prioritizing tasks and effective time management. Share strategies you’ve employed in previous roles to stay on track, such as breaking projects into manageable parts and using software tools for efficient tracking.

Provide a specific example of a challenge you faced and the advanced analytical techniques you applied to arrive at a solution. Highlight the outcome, emphasizing how your analytical skills contributed to improving the study or project.

Discuss various statistical methods such as regression analysis, survival analysis, and hypothesis testing that you have experience with. Be prepared to provide examples of how you applied these techniques in real-world scenarios.

Emphasize the importance of open communication and regular check-ins. Mention tools you use for collaboration and how you tailor your communication style to suit different audiences to ensure all stakeholders are informed and engaged.

Highlight technical proficiency in SAS programming, but also the significance of problem-solving abilities and attention to detail. Stress that the combination of these skills leads to effective and precise data management, crucial for the success of clinical trials.

Mention specific resources you follow, such as industry blogs, conferences, or webinars. Discuss your commitment to continuous learning and any formal training or certifications you might seek to enhance your skills in clinical data science.

Articulate your passion for contributing to the healthcare sector and how PSI's values align with your professional goals. Visit specific aspects of the company that excite you, such as its commitment to employee development and the impactful work being done in clinical trials.