Location SAINT LOUIS, MO 63110

 Position Summary The Cao Lab aims to better understand why certain cancers are increasing among younger adults by identifying the external and internal factors that shape cancer risk and investigating how these factors converge across life stages to influence cancer development and progression. By integrating population science, mechanistic biology, and implementation science,
and leveraging computational innovation, the lab examines these relationships across exposures, tissue types, life stages, and populations to identify opportunities for prevention and early intervention. We are looking for passionate, curious, and collaborative rising leaders with training in molecular epidemiology, data science and informatics, cancer biology, or environmental sciences, who are excited to work
across disciplines and help advance this emerging field. Job Description Primary Duties & Responsibilities: For further details please visit https://caolab.wustl.edu/ . Information on being a postdoc at WashU in St. Louis can be found at https://postdoc.wustl.edu/prospective-postdocs-2/ . Trains under the supervision of a faculty mentor including (but not limited to): Lead interdisciplinary research integrating
large-scale population and clinical data with multi-omics, biology, and AI to investigate the causes and biomarkers of early-onset cancers and identify opportunities for precision prevention. Develop and execute studies from literature review and hypothesis formulation through study design, protocol development, analysis, interpretation, and dissemination. Apply rigorous and reproducible methods to complex
population, clinical, and molecular data using R, Python, SAS, or related tools, with well-documented code and analytic workflows. Collaborate and communicate effectively with cohort leaders, data providers, clinicians, biostatisticians, bioinformaticians, data scientists, and basic scientists on multisite and multidisciplinary projects. Coordinate scientific activities across projects, including data acquisition,
harmonization, analysis, and communication among internal and external collaborators. Lead and contribute to original and review manuscripts, scientific presentations, and grant applications, and present findings at internal meetings and scientific conferences. Mentor graduate students, research assistants, and other trainees. Conscientious discharge of their research responsibilities in terms of protocols, reports,
Summary from the source posting. Always confirm details on the institution's official career page.