Sr. Lead Biostatistician - Oncology Evidence Generation

LabcorpDurham NConsiteSalary not postedView the original posting at Labcorp ↗

Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world’s most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you’ll have the opportunity to do meaningful work, grow your career and make a real impact on people’s health around the world. Together, we’re improving health and improving lives. Labcorp is seeking a S enior Le ad Biostatistician – Oncology Evidence Generation to join our team in Raleigh/Durham, NC. Work Schedule: Monday - Friday, First Shift Job Summary: Labcorp is seeking a Senior Lead Biostatistician to join our cross-functional Evidence Generation team, supporting a growing portfolio of oncology research initiatives, with a focus on observational clinical validity studies in minimal residual disease (MRD), alongside investigator-initiated studies, registries, and real-world evidence programs. This role will serve as the statistical lead across multiple studies, driving study design, analytical strategy, and execution to ensure high-quality, scientifically rigorous outputs. The Senior Lead Biostatistician will act as a central statistical leader, partnering closely with clinical development, scientific, data, and operational teams, as well as external investigators and collaborators. This individual will ensure studies are appropriately designed, powered, and analyzed while delivering high-quality statistical outputs that support evidence generation, publication, and clinical adoption. The role plays a critical part in translating complex data into meaningful insights and advancing Labcorp’s precision oncology evidence strategy. Job Responsibilities: Contribute to and shape the design of MRD-focused studies, including clinical validity studies, registries, and real-world evidence programs, defining endpoints, analysis strategies, and overall statistical approach across multiple concurrent programs Perform sample size and power calculations, support endpoint justification, and draft statistical sections of study protocols Independently perform statistical analyses across diverse datasets (clinical, assay/validation, and real-world/registry data) using appropriate methods (e.g., regression, survival analysis, validation approaches), ensuring accuracy, reproducibility, and appropriate documentation Serve as the statistical point of contact for assigned studies; partner with clinical, translational, and data teams, as well as external collaborators, to support study execution and communicate statistical concepts, methods, and results clearly to non-statistical stakeholders Identify study risks and provide data-driven recommendations to support study integrity and decision-making Develop, manage, and maintain statistical deliverables (analysis summaries, tables/listings/figures, study reports) and lead or contribute to the development of Statistical Analysis Plans (SAPs) Contribute to abstracts, manuscripts, and scientific presentations supporting evidence generation and publication strategy Manage statistical deliverables across multiple concurrent studies, ensuring timelines, quality, and consistency of outputs Lead or contribute to development of statistical templates, tools, and workflows, while building subject matter expertise in MRD and oncology study methodologies Minimum Requirements: MS in Biostatistics, Statistics, or a related quantitative field 6 or more years of experience in clinical biostatistics within biotechnology

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