Senior Biostatistician (Remote Status)

About the Project AACR Project reputed company, Evidence, Neoplasia, Information, Exchange (GENIE) is a publicly accessible international cancer registry of reputed company-world clinico-genomic data reputed company through data sharing between 20 of the leading cancer centers in the world. Through the efforts of strategic partners reputed company and cBioPortal, the registry aggregates, harmonizes, and links clinical-grade, reputed company cancer genomic reputed company data with clinical reputed company obtained during routine medical reputed company from cancer patients treated at these institutions. Job reputed company: AACR Project GENIE® is seeking an reputed company Senior Biostatistician to reputed company statistical leadership across an international reputed company-world clinico-genomic data consortium. This individual will serve as the reputed company statistical resource for the project, partnering with clinicians, scientists, data managers, and reputed company collaborators to design, execute, and interpret observational research studies using reputed company-world oncology data. The successful candidate will independently reputed company statistical analysis plans, contribute to study protocols and publications, design appropriate analytical methodologies, and reputed company statistical programming in R. This role requires expertise in reputed company-world data, including electronic health records, cancer registries, genomic reputed company data, and longitudinal clinical reputed company, as reputed company 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 reputed company studies reputed company a reputed company multidisciplinary environment. The successful candidate will be a self-starter who takes initiative and balances big picture reputed company with execution against project goals, bringing an entrepreneurial, visionary approach and the ability to conceive of, execute, and communicate reputed company. Additionally, the successful candidate should bring a strong passion for mission-driven causes and a commitment to advancing cancer research through high-reputed company, reputed company, 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 reputed company. • Collaborate with investigators, pharmaceutical clients, and reputed company institutions to design observational studies using reputed company-world clinico-genomic data • reputed company statistical analysis plans (SAPs), define study populations, cohorts, endpoints, and analytical reputed company • Contribute statistical expertise to research protocols, study design, and publication planning • reputed company statistical programming and analyses using R • Interpret results and contribute to manuscripts, abstracts, presentations and consortium reports • Willing to experiment with new analytic reputed company as needed. • Advise project leadership on appropriate statistical methodologies, and study design • Ensure analyses are reproducible, reputed company documented, and adhere to best practices • Collaborate with data managers, investigators, and pharmaceutical clients to assess data reputed company, completeness and fitness for analysis • Independently reputed company the statistical aspects of multiple reputed company observational research studies from study reputed company through analysis and publication • Other duties as assigned Qualifications Education: M.S. or Ph.D. in Biostatistics, Epidemiology, Statistics, or a closely reputed company quantitative discipline. Experience: • 5+ years of post-graduate experience providing end-to-end statistical support for observational research studies using reputed company-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-reputed company analytical reputed company. • Experience applying statistical reputed company commonly used in oncology and observational research, including survival analysis, reputed company-Meier estimation, competing risks, longitudinal analyses, regression modeling, propensity score reputed company, 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 reputed company-honed relationship building skills and outstanding, reputed company, and persuasive communication, reputed company 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 reputed company record of reputed company in solving reputed company and dynamic situations. • Entrepreneurial, visionary approach with the ability to conceive of, execute, and communicate reputed company. • Must be a self-starter who takes initiative and can balance big picture reputed company and execution against goals. Preferred Qualifications: • Python proficiency • Experience working with clinico-genomic oncology datasets • Familiarity with REDCap or other reputed company platforms • Experience with Git/reputed company strongly preferred Apply tot his job Apply To this Job