Sr. Lead Biostatistician - Oncology Evidence Generation

Senior Lead Biostatistician – Oncology Evidence GenerationLabcorp 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 programsPerform sample size and power calculations, support endpoint justification, and draft statistical sections of study protocolsIndependently 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 documentationServe 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 stakeholdersIdentify study risks and provide data-driven recommendations to support study integrity and decision-makingDevelop, 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 strategyManage statistical deliverables across multiple concurrent studies, ensuring timelines, quality, and consistency of outputsLead or contribute to development of statistical templates, tools, and workflows, while building subject matter expertise in MRD and oncology study methodologiesMinimum Requirements:MS in Biostatistics, Statistics, or a related quantitative field6 or more years of experience in clinical biostatistics within biotechnology, diagnostics, CRO, or related healthcare environments5 or more years of experience in statistical programming (R, SAS or equivalent acceptable)3 or more years of experience supporting clinical research studies, including observational studies, registries, and/or assay validation efforts3 or more years of experience independently managing statistical analyses and deliverables across multiple concurrent studiesPreferred Requirements:PhD in Biostatistics, Statistics, or a related quantitative field3 or more years of experience in oncology research, biomarker-driven studies, or precision oncology3 or more years of experience with real-world data, registry-based research, or observational study designs3 or more years of experience contributing to scientific publications, including abstracts, manuscripts, or conference presentations1 or more years of experience with MRD, ctDNA, genomics/NGS-based assays, or molecular diagnostics1 or more years of experience with clinical study documentation and regulatory standards (e.g., protocols, SAPs, GCP principles)Additional Job Standards:Strong foundation in clinical study design and applied statistical leadership, including sample size estimation, power calculations, and endpoint evaluationExperience applying statistical methods to clinical, real-world, and/or assay validation datasets, including regression and survival/time-to-event analysisStrong written and verbal communication skills, with ability to clearly convey complex statistical concepts to diverse scientific and non-technical audiencesDemonstrated ability to work effectively in cross-functional teams and collaborate with internal stakeholders and external partnersStrong analytical, problem-solving, and organizational skills, with high attention to detail and commitment to data quality and scientific rigorExperience working in collaborative research environments involving academic or external investigator partnershipsOccasional travel for internal meetings or external collaborator engagement, as needed (?10–15%)Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. For more detailed information, please click here.Labcorp is proud to be an Equal Opportunity Employer:Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. 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