Principal Statistical Programmer

A principal statistical programmer provides timely support to the study team on all programming matters according to the project strategies.

In this role, a typical day might include:

As an integral part of a study, the incumbent provides project leadership and programming support for processing data from clinical studies. Requirements will be identified according to a Statistical Analysis Plan and programming specifications using internal standards and guidelines. The incumbent assists in providing guidance in implementing and executing the programming and project standards. The evaluation and development of study requirements and validation plan are also in the scope of this position. Works independently to design and test program logic, coding programs, program documentation and preparation of programs. Oversees projects designed to support ongoing clinical studies requests for statistical and non-statistical analyses. Meets statistical adhoc requests of senior management. Provides documentation and consistent maintenance of code, logs, and output in a regulated environment.

This role might be for you if can:

• Support and/or lead programmer for programming and QC of analysis datasets, TFLs or standard tools following Regeneron standard data models or user requirements. Assist in the coordination of activities and communicate shifting timelines and milestones.
• Integration of data across studies in support of CSS/CSE. Create, manage and maintain the programming specifications for the analysis datasets utilizing Regeneron tools and methodologies.
• Support creation and validation of submission requirements (i.e. annotated CRF, data export files, define documents).
• Work in a multidisciplinary study team to provide timely and quality support for analysis and reporting of clinical trials up to regulatory approval, product launch and annual reports. If applicable, develop and provide department training for applications and standard tools developed by the department functions group.
• Provide programming support for simple presentations and basic statistical ad-hoc requests. Assist in the more complex data presentations.
• Participate in department working groups; provide input in development of tools and improvement of processes.

• Masters Degree
• SAS, (Base, Stat, Macro, graph).
• 3 + Years experience

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries specific benefits, please speak to your recruiter.

Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regenerons roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regenerons on-site policy and expectations for your role and your location., Regeneron is a leading biotechnology company that invents, develops, and commercializes life-transforming medicines for people with serious diseases. Founded and led by physician-scientists, our unique ability to repeatedly and consistently translate science into medicine has led to numerous approved treatments and product candidates in development, most of which were homegrown in our laboratories. Our medicines and pipeline are designed to help patients with eye diseases, allergic and inflammatory diseases, cancer, cardiovascular and metabolic diseases, neurological diseases, hematologic conditions, infectious diseases, and rare diseases.