Senior Biostatistician

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Requirements:

• An advanced degree in (bio)statistics, epidemiology, public health, health economics, or a related scientific discipline
• 5+ years experience in a quantitative position, including experience at a pharmaceutical or biotech company, contract research organization (CRO), or similar company within the life sciences
• Advanced experience with R and tidyverse
• Extensive experience leading the development and execution of statistical analysis plans for observational and / or real-world data studies that involve both primary and secondary data
• Extensive experience contributing to observational study design and methodology, protocol development, quality control initiatives, and publications
• Exceptional communication and presentation skills, especially in customer-facing, consultative interactions; you’re able to translate complex concepts and results to a variety of audiences
• A collaborative approach, with experience working cross-functionally with diverse teams such as sales, epidemiology, quality / regulatory, data management, medical, patient enrollment, and clinical operations.
• Intellectual curiosity and independence, strong organizational skills, and a flexible mindset with the ability to balance shifting priorities to meet or exceed expectations.

Responsibilities:

• Lead the development and execution of comprehensive statistical analysis plans (SAPs) for observational research studies that leverage primary (e.g., PROs, ClinROs) and secondary data (e.g., medical records, claims), ensuring alignment with our clients’ objectives and support publication and regulatory submissions
• Transform observational study data into actionable insights through advanced statistical methods, analytics, and compelling data visualizations in R
• Partner with internal study teams and client stakeholders to develop robust study protocols, data and quality management plans, clinical study reports, and publications
• Ensure the accuracy, quality, and integrity of statistical data and results, proactively assessing data quality, identifying gaps, and proposing solutions
• Confidently present statistical findings, lead data trainings, and cultivate strong relationships to build trust and confidence, ensuring our clients can derive maximum value from study data and increasing opportunities for expanded analytics services
• Become a subject matter expert on our data and its capabilities, and through that lens, lead technical initiatives that enhance our analytics capabilities, mentor junior team members, and drive team-wide process improvements