Senior Biostatistician (Remote Status)

About the Role

The American Association for Cancer Research (AACR) Project GENIE® is seeking an experienced Senior Biostatistician to provide statistical leadership across an international real-world clinico-genomic data consortium. This individual will serve as the primary statistical resource for the project, partnering with clinicians, scientists, data managers, and external collaborators to design, execute, and interpret observational research studies using real-world oncology data. The role requires expertise in real-world data, including electronic health records, cancer registries, genomic sequencing data, and longitudinal clinical outcomes, as well as the ability to translate scientific questions into rigorous and reproducible statistical analyses.

This role is ideal for a senior biostatistician who enjoys working independently and leading the statistical design, programming, and interpretation of multiple concurrent studies within a collaborative multidisciplinary environment. The successful candidate will be a self-starter who takes initiative, balances big-picture strategy with execution, and brings an entrepreneurial, visionary approach to advancing cancer research through high-quality, collaborative, statistical science.

Responsibilities

• Serve as the statistical subject matter expert for AACR Project GENIE, providing consultation to investigators, collaborators, and project leadership on study design and analytical strategy.
• Collaborate with investigators, pharmaceutical clients, and academic institutions to design observational studies using real-world clinico-genomic data.
• Develop statistical analysis plans (SAPs), define study populations, cohorts, endpoints, and analytical methods.
• Contribute statistical expertise to research protocols, study design, and publication planning.
• Perform statistical programming and analyses using R.
• Interpret results and contribute to manuscripts, abstracts, presentations, and consortium reports.
• Willing to experiment with new analytic methods as needed.
• Advise project leadership on appropriate statistical methodologies and study design.
• Ensure analyses are reproducible, well-documented, and adhere to best practices.
• Collaborate with data managers, investigators, and pharmaceutical clients to assess data quality, completeness, and fitness for analysis.
• Independently lead the statistical aspects of multiple concurrent observational research studies from study conception through analysis and publication.
• Other duties as assigned.

Requirements

• M.S. or Ph.D. in Biostatistics, Epidemiology, Statistics, or a closely related quantitative discipline.
• 5+ years of post-graduate experience providing end-to-end statistical support for observational research studies using real-world data (RWD), including electronic health records (EHRs), cancer registries, genomic data, claims data, or other longitudinal clinical data sources.
• Demonstrated experience designing statistical analysis plans (SAPs), contributing statistical sections of research protocols, defining study cohorts, endpoints, and analytical methodologies for observational clinical research.
• Prior peer-reviewed publications as a statistical collaborator.
• Strong proficiency in R is required, including statistical programming, data manipulation, reproducible workflows, and production-quality analytical code.
• Experience applying statistical methods commonly used in oncology and observational research, including survival analysis, Kaplan-Meier estimation, competing risks, longitudinal analyses, regression modeling, propensity score methods, missing data approaches, and sensitivity analyses.

Skills

• Exceptional strategic thinking and problem-solving abilities with a proven track record of success in solving complex and dynamic situations.
• Entrepreneurial, visionary approach with the ability to conceive of, execute, and communicate innovative solutions.
• Self-starter who takes initiative and balances big-picture strategy with execution against goals.
• Experience collaborating with clinicians, scientific investigators, and data management teams to translate research questions into statistically rigorous study designs.
• Well-honed relationship-building skills and outstanding, articulate, and persuasive communication, public speaking, and presentation abilities.
• Experience interpreting and communicating statistical findings to both technical and non-technical audiences.

Preferred Qualifications

• Python proficiency.
• Experience working with clinico-genomic oncology datasets.
• Familiarity with REDCap or other EDC platforms.
• Experience with Git/GitHub strongly preferred.