Okay, I've searched for Statistical Programmer roles in Bridgewater, NJ and remote options, targeting candidates with a Master’s or Ph.D. in statistics or related fields, and experience in SAS programming and clinical trials. I found 35 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Statistical Programmer II role at Everest Clinical Research is fundamentally geared towards supporting the clinical trial process through statistical programming and data analysis. This position emphasizes the importance of developing and validating SDTM and ADaM datasets as per industry and regulatory standards, ensuring data integrity, and generating relevant statistical output reports. A candidate will likely face challenges such as addressing data discrepancies and navigating the complexities of various trial datasets, requiring them to be well-versed in SAS programming and familiar with clinical study protocols. Success in this role is characterized by the ability to work efficiently under supervision while adhering to Everest’s high-quality standards, managing timelines effectively, and contributing to the overall integrity and compliance of clinical trials, which is pivotal for attracting and retaining clients in the competitive CRO landscape.

Company Analysis:

Everest Clinical Research occupies a prominent position in the contract research organization space, recognized for its diverse range of services and commitment to high-quality deliverables. With its entrepreneurial roots and a focus on quality and customer service, the company fosters a dynamic and adaptive work environment. This suggests that the culture values initiative and flexibility, which will likely impact the mode of collaboration and communication expected from the Statistical Programmer II. Within the organization, this role plays a critical part in supporting core clinical trial operations, placing it at the intersection of technical execution and strategic client service. Given Everest's continued growth and its emphasis on maintaining high standards, the role is positioned not just for immediate contribution but also as a part of the larger goal of establishing long-term relationships with pharmaceutical and biotech clients.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to resolve a discrepancy in clinical trial data. How did you approach the situation?
• Describe a project where you had to develop complex SAS programs. What challenges did you face, and how did you overcome them?
• Can you provide an example of how you handled tight deadlines while ensuring the accuracy of your statistical programming work?
• How do you stay updated with regulatory changes and industry standards relevant to clinical trial programming?
• What steps would you take to validate an ADaM dataset against the specifications outlined in a Statistical Analysis Plan?
• How would you approach performing CDISC conformance checks on generated datasets? What tool or method would you use?
• Imagine you discover that the data in a Patient Profile you're generating shows anomalies. What steps would you take to address this?
• If you were tasked with generating a regulatory-required safety report, how would you ensure its compliance with the necessary standards?
• Why are you interested in working at Everest Clinical Research specifically, and how do you see your skills aligning with our mission?
• How do you see the role of a Statistical Programmer evolving in the context of advancements in clinical research technologies?
• What are some key performance indicators you would consider important for measuring success in this role?
• What questions do you have about the collaboration between Statistical Programmers and Clinical Data Managers in our projects?
• Can you ask about the training opportunities available for the Statistical Programmer II role?
• How does this role contribute to Everest's larger goals of quality and customer service within clinical trials?