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. Strong background in epidemiological/statistical methods, including coursework and research experience in causal inference and evidence synthesis. Programming experience using large datasets (e.g., R, SAS
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, skills and experiences directly related to this position, and highlight overall research interests and plan, and (3) contact information for three professional references via Interfolio. Review
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in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
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professional development opportunities, including public speaking and attending seminars. Present research findings at conferences and participate in training programs to enhance skills and knowledge. Skills
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programs to bridge fundamental cancer biology with clinical investigation for the translation of basic discoveries into better therapeutics, treatments, or diagnoses. Compensation: Compensation