Senior Biostatistician - Oncology Clinical Analytics

Apr; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Apr is seeking a Biostatistician to provide statistical expertise across design, analysis, and reporting of clinical studies, with a focus on late-stage oncology programs. You will partner with cross-functional teams to define scope and timelines and develop analysis plans that ensure accuracy and regulatory readiness.

The role requires an advanced degree in statistics/biostatistics, experience in late-stage oncology, and proficiency with SAS and/or R.

Qualifications

• Advanced degree (Ph.D. or M.S.) in statistics, biostatistics, or a related field.
• Regulatory submissions experience with regulators is preferred.
• Experience supporting late-stage oncology clinical development is required.

Responsibilities

• Provide statistical expertise in the design, analysis, and reporting of clinical studies.
• Partner with cross-functional teams to define analysis scope and timelines.
• Develop statistical analysis plans and detailed analysis specifications.
• Conduct and perform quality control on statistical analyses, including statistical modeling as needed.
• Collaborate with statistical programming teams to ensure analyses are conducted per plan and specifications.
• Work with data management and clinical operations to support robust data collection and database development.
• Contribute to the development and review of scientific publications, ensuring data consistency and accuracy.
• Author and review statistical sections of regulatory submissions and responses, ensuring clarity and accuracy in data presentation.
• Represent the biostatistics function on study teams and contribute to cross-functional decision-making.

Skills

Regulatory submissions experience

Cross-functional collaboration

Education

Ph.D. or M.S. in statistics/biostatistics

Tools

SAS

R

Job description

Apr is seeking a Biostatistician to provide statistical expertise across design, analysis, and reporting of clinical studies, with a focus on late-stage oncology programs. You will partner with cross-functional teams to define scope and timelines and develop analysis plans that ensure accuracy and regulatory readiness.

The role requires an advanced degree in statistics/biostatistics, experience in late-stage oncology, and proficiency with SAS and/or R.