Describe methods and analyses in protocols, statistical analysis plans, data monitoring committee reports, manuscripts, and clinical study reports for oncology trials. Choose, conduct and QC statistical analyses in SAS. Handle confidential materials. Interface with clients and stakeholders.

Serve as PI or co-PI for diverse observational and mechanistic studies. Serve as scientific thought leader for study design and statistical analysis issues. Design and deliver courses to teach epidemiology and biostatistics to medical students. Communicate findings to peers, funders and the public via peer-reviewed papers and mass-media coverage (e.g. Medscape, NPR). Guide junior researchers to conduct independent investigations. Represent department and institution on multi-stakeholder management teams and network steering committees.

Provide scientific leadership and project management on multiple outcomes research and health economic studies. Design value-based contracting, develop protocols and work across a cross functional team. Consult on statistics and quantitative methods for assessing health behaviors and improving health information systems.

Clean, standardize, and disseminate datasets for the California Health Interview Survey (CHIS). Perform missing-data imputation; calculate survey weights; create replicable code and metadata. Harmonize datasets with previous release cycles. Manage multiple projects and teams on tight timelines.

Conducted and published peer-reviewed statistical/epidemiological investigations of behavioral / environmental health. Interpreted and communicated research findings to diverse audiences via manuscripts, reports, and conference presentations. Managed external relationships. Oversaw internal project teams and managed study timelines.

Worked closely with transnational teams of statisticians and clinicians to design, conduct and interpret analyses of pharmaceutical trials. Cleaned and archived data. Wrote well-commented code to share with other programmers. Analyzed clinical trial data; validate statistical output; interpreted and communicated statistical results and concepts to non-statisticians. Provided input into statistical standard operating procedures (SOPs) and general standardization efforts. Interacted with regulatory agencies.