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Data Analyst & Research Compliance Specialist

University of South Florida
Full-time
On-site
Tampa, Florida, United States
Description

Position Summary

We are seeking a highly organized, detail-oriented professional to serve in dual roles as an Institutional Review Board (IRB) Specialist and Statistical Analyst. This unique role supports compliance with research ethics and regulatory requirements while providing advanced statistical expertise for data analysis and reporting. This position will work directly with the Assistant Dean for Medical Student Research and the research team on day-to-day activities, including, but not limited to, IRB protocol submission support and coordination, data management, statistical analysis, and research dissemination. The incumbent ensures compliance with human subjects’ research regulations, manages datasets, performs complex analyses, and assists with manuscripts and grant proposals. The role also includes training new staff, maintaining quality assurance programs, and serving as a resource for faculty, medical students, and team members.

This position is not eligible for Visa Sponsorship.



Responsibilities

IRB Specialist Duties (Approx. 50%)

  • Maintain regular contact with the USF IRB office to understand the protocol submission-related processes and guidelines, etc.
  • Serve as a guide for medical students, residents, and fellows for IRB protocol design and submission, amendments, renewals, closing out the studies, etc.
  • Ensure compliance with federal regulations, institutional policies, and ethical standards.
  • Serve as a liaison between investigators and the IRB, guiding protocol development and informed consent, etc.
  • Maintain accurate records of IRB approvals and correspondence.
  • Monitor ongoing studies for adherence to approved protocols and reporting requirements.

Statistical Analyst Duties (Approx. 50%)

  • Develop and maintain data sets, ensuring data integrity and quality.
  • Collaborate with investigators to design studies, calculate sample sizes, and select appropriate statistical tests.
  • Perform statistical analyses using appropriate methodologies (e.g., propensity score matching, multivariate regression, survival analysis, etc.).
  • Assist in interpreting results and drafting methods/results sections for peer-reviewed manuscripts.
  • Prepare statistical reports, tables, and visualizations for peer-reviewed manuscripts and presentations.
     


Qualifications

Minimum Qualifications

  • Bachelor’s degree in Biostatistics, Epidemiology, Mathematics, Public Health, or a related field and at least two years of research experience; OR
  • Master’s degree in one of the same fields with a minimum of one year of research experience.

Senate Bill 1310- The Florida Senate (https://www.flsenate.gov/Session/Bill/2023/1310) is conditional upon meeting all employment eligibility requirements in the U.S.

SB 1310: Substitution of Work Experience for Postsecondary Education Requirements

A public employer may include a postsecondary degree as a baseline requirement only as an alternative to the number of years of direct experience required, not to exceed:

  • Two years of direct experience for an associate degree;
  • Four years of direct experience for a bachelor’s degree;
  • Six years of direct experience for a master’s degree;
  • Seven years of direct experience for a professional degree; or
  • Nine years of direct experience for a doctoral degree
  • Related work experience may not substitute for any required licensure, certification, or registration required for the position of employment as established by the public employer and indicated in the advertised description of the position of employment.
  • Minimum Qualifications that require a high school diploma are exempt from SB 1310.

Preferred Qualifications

  • Master’s degree with three years of research experience, or Doctoral degree (PhD, DrPH) with at least one year of research experience.
  • Certification in IRB administration (e.g., CIP).
  • Experience with clinical, observational research, meta-analysis, and systematic reviews.
  • Proficiency in multiple statistical software packages and data visualization tools.
  • Strong scientific writing and communication skills.