Associate Principal Scientist, Statistical Programmer | Oncology (Hybrid)

About the position

The position within BARDS (Biostatistics and Research Decision Sciences) focuses on supporting statistical programming activities for late-stage drug and vaccine clinical development projects. The role involves developing and executing statistical analysis and reporting deliverables, maintaining statistical datasets, and collaborating with various stakeholders to ensure efficient project execution and high-quality deliverables throughout the product lifecycle.

Responsibilities

• Develop and execute statistical analysis and reporting deliverables for clinical trials and regulatory submissions.
• Design and maintain statistical datasets for multiple stakeholder groups.
• Coordinate activities of a global programming team, including outsourced staff.
• Participate in departmental strategic initiative teams.
• Manage project plans, including resource forecasting.

Requirements

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 9 years SAS programming experience in a clinical trial environment.
• MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 7 or more years SAS programming experience in a clinical trial environment.
• Excellent interpersonal skills and ability to negotiate and collaborate effectively.
• Strong project management skills and leadership at a program level.
• Significant expertise in SAS and clinical trial programming.

Nice-to-haves

• Strong working knowledge of reporting processes (SOPs) and software development life cycle (SDLC).
• Experience providing technical and/or programming guidance and mentoring to colleagues.
• Ability to work across cultures and geographies.
• Experience developing and managing a project plan using Microsoft Project or similar package.

Benefits

• Bonus eligibility
• Long term incentive if applicable
• Health care and other insurance benefits for employee and family
• Retirement benefits
• Paid holidays
• Vacation
• Sick days