Senior Biostatistician (Remote Status)

American Association for Cancer Research•Philadelphia, PA

10d•Remote

About The Position

The American Association for Cancer Research (AACR) is seeking an experienced Senior Biostatistician to provide statistical leadership for AACR Project GENIE®, an international real-world clinico-genomic data consortium. This individual will be the primary statistical resource, partnering with clinicians, scientists, data managers, and external collaborators to design, execute, and interpret observational research studies using real-world oncology data. The role involves developing statistical analysis plans, contributing to study protocols and publications, designing analytical methodologies, and performing statistical programming in R. Expertise in real-world data sources such as electronic health records, cancer registries, genomic sequencing data, and longitudinal clinical outcomes is required. The ideal candidate is a self-starter who enjoys working independently, leading statistical design, programming, and interpretation of multiple concurrent studies in a collaborative, multidisciplinary environment. A passion for mission-driven causes and advancing cancer research through collaborative statistical science is essential.

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.
Experience collaborating with clinicians, scientific investigators, and data management teams to translate research questions into statistically rigorous study designs, with 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, with exceptional strategic thinking and problem-solving abilities and 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.
Must be a self-starter who takes initiative and can balance big picture strategy and execution against goals.

Nice To Haves

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

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.