Senior Biostatistician
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Job Description
Senior Biostatistician leading observational studies using real-world clinico-genomic cancer data for AACR Project GENIE. Designing analyses, programming in R, and translating findings into publications.
Responsibilities:
- Serve as the statistical subject matter expert for AACR Project GENIE
- Advise 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, 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
- Experiment with new analytic methods as needed
- Advise project leadership on 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 conception through analysis and publication
- Perform 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
- Experience with electronic health records, cancer registries, genomic data, claims data, or other longitudinal clinical data sources
- Experience designing statistical analysis plans and contributing statistical sections to research protocols
- Experience defining study cohorts, endpoints, and analytical methodologies for observational clinical research
- Prior peer-reviewed publications as a statistical collaborator
- Strong proficiency in R, including statistical programming, data manipulation, reproducible workflows, and production-quality analytical code
- Experience with survival analysis, Kaplan-Meier estimation, competing risks, longitudinal analyses, regression modeling, propensity score methods, missing data approaches, and sensitivity analyses
- Experience collaborating with clinicians, scientific investigators, and data management teams
- Strong relationship-building, communication, public speaking, and presentation abilities
- Experience interpreting and communicating statistical findings to technical and non-technical audiences
- Strategic thinking, problem-solving ability, and experience solving complex and dynamic situations
- Entrepreneurial, visionary approach and ability to conceive, execute, and communicate innovative solutions
- Self-starter who takes initiative and balances big-picture strategy with execution against goals
- Preferred: Python proficiency
- Preferred: Experience working with clinico-genomic oncology datasets
- Preferred: Familiarity with REDCap or other EDC platforms
- Git/GitHub experience strongly preferred
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