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We are seeking a skilled and motivated Senior Biostatistician to join our fast-moving, collaborative environment focused on medical imaging and dermatology-based clinical development. In this role, you will support clinical studies through statistical planning, analysis, and reporting activities. The position requires strong technical expertise in statistics and SAS programming, with the ability to independently develop Statistical Analysis Plans (SAPs), execute and validate statistical analyses, and prepare statistical components of clinical study reports (CSRs). The right candidate can translate statistical outputs into clinically meaningful interpretations and communicate findings clearly to both technical and non-technical audiences.
Job Responsibility
Independently author Statistical Analysis Plans (SAPs), including definition of analysis populations, endpoints, statistical methods, missing data handling, and sensitivity analyses
Provide statistical input into study protocols, including endpoint definition, sample size considerations, and methodological recommendations
Develop, validate, and maintain SAS programs for analysis datasets, tables, listings, and figures (TLFs) in accordance with SAPs
Perform statistical analyses aligned with SAPs and study objectives, ensuring accuracy, reproducibility, and compliance with regulatory expectations
Prepare statistical sections of clinical study reports (CSRs), including interpretation of results
Ensure analyses adhere to ICH and FDA guidance
Collaborate cross-functionally with clinical, regulatory, data management, and medical writing teams to support study deliverables
Requirements
Master's degree in Biostatistics, Statistics, Mathematics or closely related quantitative discipline with at least 4 years of clinical research within a regulated environment (pharmaceutical, biotechnology, CRO, or medical device industry) or PhD with at least 2 years of relevant experience
Demonstrated experience independently authoring Statistical Analysis Plans (SAPs), contributing to clinical study reports and regulatory documentation
Proficiency in SAS, including validated code development, QC, and production of regulatory-grade TLFs
Solid understanding of statistical methodology for clinical trials, including analysis population definitions, endpoint types, missing data, and multiplicity considerations
Ability to communicate statistical results within the clinical study context
Working knowledge of ICH E9/E9(R1) and FDA regulatory expectations
Strong analytical skills with high attention to data integrity, reproducibility, and traceability
Ability to manage projects or analysis within established timelines
Experience with medical imaging or dermatology clinical studies
Exposure to regulatory submission processes
Experience contributing to peer-reviewed publications
Nice to have
Experience with medical imaging or dermatology clinical studies
Exposure to regulatory submission processes
Experience contributing to peer-reviewed publications