
201 - 500 employees
Founded 1907
đ€ Non-profit
đ„ Healthcare
đ§Ź Biotechnology
Non-profit âą Healthcare âą Biotechnology
American Association for Cancer Research (AACR) is a nonprofit organization dedicated to accelerating cancer research and promoting scientific discovery related to cancer prevention, treatment, and survivorship. With over 58,000 members, AACR supports cancer researchers and advocates for cancer research funding, while also providing education, training, and resources to the cancer community. The organization hosts scientific meetings, publishes journals, and engages in impactful advocacy efforts to drive progress against cancer.
đ August 15
Where this job comes from
Posted on American Association for Cancer Research's careers page â, not through a job board
First seen by Remote Rocketship August 15
Still open on American Association for Cancer Research's site. Checked 4 hours ago.

201 - 500 employees
Founded 1907
đ€ Non-profit
đ„ Healthcare
đ§Ź Biotechnology
Non-profit âą Healthcare âą Biotechnology
American Association for Cancer Research (AACR) is a nonprofit organization dedicated to accelerating cancer research and promoting scientific discovery related to cancer prevention, treatment, and survivorship. With over 58,000 members, AACR supports cancer researchers and advocates for cancer research funding, while also providing education, training, and resources to the cancer community. The organization hosts scientific meetings, publishes journals, and engages in impactful advocacy efforts to drive progress against cancer.
âą Serve as the statistical subject matter expert for AACR Project GENIE âą Advise investigators, collaborators, and project leadership on study design and analytical strategy âą Collaborate with investigators, pharmaceutical clients, and academic institutions to design observational studies using real-world clinico-genomic data âą Develop statistical analysis plans, define study populations, cohorts, endpoints, and analytical methods âą Contribute statistical expertise to research protocols, study design, and publication planning âą Perform statistical programming and analyses using R âą Interpret results and contribute to manuscripts, abstracts, presentations, and consortium reports âą Experiment with new analytic methods as needed âą Advise project leadership on statistical methodologies and study design âą Ensure analyses are reproducible, well documented, and adhere to best practices âą Collaborate with data managers, investigators, and pharmaceutical clients to assess data quality, completeness, and fitness for analysis âą Independently lead the statistical aspects of multiple concurrent observational research studies from conception through analysis and publication âą Perform other duties as assigned
âą M.S. or Ph.D. in Biostatistics, Epidemiology, Statistics, or a closely related quantitative discipline âą 5+ years of post-graduate experience providing end-to-end statistical support for observational research studies using real-world data âą Experience with electronic health records, cancer registries, genomic data, claims data, or other longitudinal clinical data sources âą Experience designing statistical analysis plans and contributing statistical sections to research protocols âą Experience defining study cohorts, endpoints, and analytical methodologies for observational clinical research âą Prior peer-reviewed publications as a statistical collaborator âą Strong proficiency in R, including statistical programming, data manipulation, reproducible workflows, and production-quality analytical code âą Experience with survival analysis, Kaplan-Meier estimation, competing risks, longitudinal analyses, regression modeling, propensity score methods, missing data approaches, and sensitivity analyses âą Experience collaborating with clinicians, scientific investigators, and data management teams âą Strong relationship-building, communication, public speaking, and presentation abilities âą Experience interpreting and communicating statistical findings to technical and non-technical audiences âą Strategic thinking, problem-solving ability, and experience solving complex and dynamic situations âą Entrepreneurial, visionary approach and ability to conceive, execute, and communicate innovative solutions âą Self-starter who takes initiative and balances big-picture strategy with execution against goals âą Preferred: Python proficiency âą Preferred: Experience working with clinico-genomic oncology datasets âą Preferred: Familiarity with REDCap or other EDC platforms âą Git/GitHub experience strongly preferred
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