• Serve as the lead statistician for retrospective observational research studies, ensuring timely and accurate completion of analyses and submission of manuscripts for publication. • Collaborate on study design, assess feasibility through preliminary analyses, define study populations, and conduct descriptive, univariate, and multivariate statistical analyses. • Prepare, clean, and manage datasets for research using statistical software such as SAS and R. • Ensures reproducibility of programming and analyses through well-documented code, version control, and adherence to internal quality standards. • Communicates complex statistical concepts clearly to non-statistical audiences, including clinicians, data managers, and external collaborators. • Contribute to peer-reviewed publications, providing expertise and scientific content regarding study design, study population, statistical methodology and interpretation of results. • Perform descriptive analyses in response to external data requests through the CIBMTR Information Request Process. • Partner with database programmers to define new variables, resolve data issues, and guide database structures to support robust statistical analysis. • Identify and report data anomalies and inconsistencies to ensure data integrity. • Build and maintain collaborative relationships across disciplines, serving as a statistical and data subject-matter expert for research teams, internal committees, and external collaborators. • Fulfill requests for datasets and analyses that support the mission of NMDP and its departments. • Identify opportunities for process improvement, propose and implement efficiency enhancements, and contribute innovative ideas to support team growth and development.