The Research to Eliminate Global Cancer Disparities (REGAL) team aims to understand and address the underlying causes of cancer health disparities in the US and globally. We evaluate the relative and joint contributions of social determinants of health (e.g. healthcare access, socio-economic status, systemic racism) and molecular mechanisms that drive cancer mortality. Leveraging robust data from primary and secondary sources, high-quality biospecimen and molecular assay data, we utilize a cell to society framework to identify key factors that can be modified to eliminate racial disparities in cancer. The REGAL team includes junior faculty, post-docs, biostatisticians, project coordinators and grad students. We are seeking a part-time Research Data Tech, Sr. to assist the team’s capacity to collect, manage, document, and prepare high quality data essential for ongoing studies. This role is central to data acquisition, coding, quality control, and preparation of analytic summaries and reports, and its absence would create bottlenecks in data processing and increase the risk of delays and errors in downstream analyses.
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Job Type
Part-time
Career Level
Senior