Associate Director Of Biostatistics

Associate Director Of Biostatistics Overview

• The Associate Director of Biostatistics will lead statistical strategies for clinical and preclinical projects, ensuring high-quality and timely deliverables.
• Collaborate with cross-functional teams to design studies and develop regulatory strategies, driving impactful decision-making processes.
• Provide advanced statistical expertise to assess benefit-risk profiles and enhance therapeutic outcomes.
• Mentor and develop statistical staff, fostering a culture of continuous learning and professional growth.
• Ensure compliance with global regulatory and technical standards in statistical practices.
• Contribute to the integration and interpretability of global data through standardization efforts.
• Support health technology assessments and commercial activities with data-driven insights.
• Drive innovation by applying novel statistical methodologies to complex challenges.

Associate Director Of Biostatistics Key Responsibilities & Duties

• Lead statistical contributions to study designs, development plans, and regulatory submissions.
• Oversee statistical work within projects, including collaboration with CRO partners.
• Evaluate and develop innovative design options to support data-driven decisions.
• Quantify benefit-risk profiles and assess the value of therapeutic assets.
• Apply advanced statistical techniques, including modeling and simulation, to enhance project outcomes.
• Ensure statistical deliverables meet quality, regulatory, and timeline expectations.
• Collaborate with cross-functional teams to address technical and regulatory requirements.
• Mentor statistical staff, promoting skill development and knowledge sharing.

Associate Director Of Biostatistics Job Requirements

• Doctorate in Statistics, Biostatistics, or a related field with a strong statistical foundation.
• Minimum of 3 years of experience in the pharmaceutical industry, focusing on statistical applications.
• Proficiency in statistical programming languages such as R and SAS.
• Expertise in Bayesian statistics and computational methods for data analysis.
• Strong project management skills to coordinate statistical activities and team efforts.
• Excellent communication skills to collaborate effectively with cross-functional teams.
• Flexibility and organizational abilities to manage multiple priorities in a dynamic environment.
• Familiarity with regulatory guidelines and technical requirements in biostatistics.