Director, Scientific Programming

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with the lead project Biostatistician on strategic project planning, offering overall guidance to the programming team in the creation, implementation, and maintenance of programming development plans for each project, ensuring timelines, resources, and quality deliverables for all assigned project work.

• Serve as the representative for the statistical programming team at Study Management Team and Clinical Development meetings, addressing deliverables and timelines.

• Lead or contribute to the development and execution of programming resource algorithms.

• Work alongside managers, taking responsibility for project resource planning and tracking.

• Communicate and interact with Statisticians, Data Managers, Clinical Operations, Medical Monitors, and other departments to address programming-related study deliverables.

• Provide managerial support to one or more employees, with overall responsibility for leading, training, and mentoring to ensure effective performance.

• Develop, test, and validate product- and study-level macros and utilities.

• Offer expert guidance to the programming group on complex programming tasks and/or standards.

• Oversee activities in support of clinical trials, ad-hoc analysis requests, data validation, and more, in compliance with all relevant statistical regulatory guidelines and standards.

⛳️ Requirements

• Master’s degree or PhD preferred, or equivalent related experience.

• A minimum of 10 years of experience with a Bachelor's degree, 7 years with a Master's degree, or 5 years with a PhD.

• At least 5 years of demonstrated leadership experience.

• Expert-level knowledge and extensive hands-on experience with CDISC standards such as CDASH, SDTM, and ADaM.

• Strong proficiency in Base SAS, SAS/STAT, SAS Macro language, and SAS SQL; experience with SAS/GRAPH is a plus.

• Experience in the development and implementation of statistical programming standards and procedures.

• Familiarity with the drug development process (pre-, early, late, and/or observational) within related industries or academic research.

• Experience with oncology trials.

• Significant technical knowledge in statistical programming using SAS.

🏝️ Benefits

• Medical

• Dental

• Vision

• 401(k)

• FSA/HSA

• Life Insurance

• Paid Time Off

• Wellness