HONEST BROKER TRANSLATIONAL PATHOLOGY RESEARCH

Overview Join to apply for the HONEST BROKER TRANSLATIONAL PATHOLOGY RESEARCH role at Moffitt Cancer Center . Responsibilities Spoke-Level Honest Broker (HB) will execute requests for aggregated, abstracted, limited, and designed PHI-masked datasets from internal and external sources. HB will adhere strictly to policies governing data containing PHI, aligning with federal policy, HIPAA regulations, Institutional Review Board (IRB), and Moffitt Cancer Center internal policies. HB will determine the scope of regulatory approvals required to authorize access to the data requested for the specified research purpose and verify that those approvals have been obtained before providing access. Incumbent will complete the comprehensive research-specific Honest Broker Training Program designed and administered by the CDSC. This role reports administratively to the Department of Pathology but is accountable to the Collaborative Data Services Core (CDSC) for all honest broker activities in compliance with institutional policy and CDSC procedures. Database-centric responsibilities will include data mining, aggregation, wrangling, and trend analysis; the incumbent is also expected to analyze data using basic statistical methods to fulfill the health research customer’s requirements. Possess functional knowledge of database query standards, reproducible programming, and essential statistical tools for working with protected health information in a clinical research environment. The Ideal Candidate Masters degree in a related field and 3-7 years of direct data-mining experience focusing on oncology research, including patient data management. Experience using data query/reporting/visualization tools (R Markdown, Shiny, Connect, SQL, Python, SAS) or BI applications (QlikView, Tableau, Power BI). Experience with electronic data capturing/workflow software (REDCap) for designing clinical and translational research databases. Git-based version control experience. Experience with cloud-based data workflows, particularly AWS or Snowflake. Basic to advanced knowledge of statistical and bioinformatic tools to analyze data for downstream research needs. Credentials And Qualifications A Bachelor’s degree in Biology, Biomedical Sciences, Public Health, Health Sciences, Health Informatics, Biostatistics, Bioinformatics, Epidemiology, Computer Science, or related field is required, with at least three (3) years of directly related experience querying/tidying/summarizing research data in a hospital or healthcare environment. In lieu of a bachelor’s degree, an additional 4 years of recent experience as a data analyst/abstractor may be considered (total seven years). Proficiency in SQL/R/Python or similar programming. Ability to collate/review data for submission monitoring for outliers, error processing, and validation. Data management knowledge for extensive data sets, including basic biostatistical knowledge for analyzing and representing data. Proficiency with MS Office; basic web-design knowledge for markdown reports of data (HTML/CSS) or similar to present data. Effective time management with the capacity to handle multiple projects and identify barriers affecting deadlines, especially in data science workflows. Critical thinking skills in data management. Benefits Moffitt Team Members are eligible for Medical, Dental, Vision, Paid Time Off, Retirement, Parental Leave and more. Tampa is a thriving metropolitan city with a rich culture and opportunities for work/life balance. Seniority level Mid-Senior level Employment type Full-time Job function Finance and Sales Industries: Hospitals and Health Care #J-18808-Ljbffr Moffitt Cancer Center