NTRO Research Data Coordinator I

Moffitt Cancer Center

1d•$21 - $31

About The Position

The Research Data Coordinator I manages data for multiple research projects in Moffitt Cancer Center’s Genitourinary Department. The role reviews and synthesizes medical-record information—including clinic notes, pathology reports, radiology reports, and patient questionnaires—to extract data for industry, cooperative, and investigator-initiated trials according to assigned protocols. The coordinator works with Principal Investigators, NTRO Leadership, and monitors to ensure data is captured as required by study protocols. The position supports a diverse portfolio of GU research studies by integrating information from multiple technology systems and data sources, maintaining data quality and patient privacy, and documenting patient enrollment, treatment, follow-up, protocol adherence, adverse events, and outcomes. It involves regular collaboration with study teams and healthcare professionals and participation in multidisciplinary and research meetings. Training and orientation are provided, and the role offers opportunities for career growth within the Research Data Coordinator career path. The role typically follows a Monday-through-Friday schedule, although occasional weekend work may be required.

Requirements

High school diploma.
At least one year of experience using automated data processing techniques, word-processing software, or database software; an AA/AS degree may substitute for this experience.
Effective verbal and written communication skills and strong interpersonal skills with staff and healthcare professionals.
Ability to prioritize and pace work under deadline and workload pressures.
Ability to demonstrate competency by meeting established competency guidelines or checklists annually.
Experience with data abstraction from collection tools or medical records and entry into electronic database systems while protecting protected health information.
Experience managing data accurately and promptly, identifying discrepancies or missing data, and following up to resolve issues.
Experience conducting quality assurance and data checks, including proofing for entry errors and maintaining accurate data.
Understanding of medical terminology, particularly anatomy, physiology, oncology, pathology, radiology, and cancer treatment modalities.
Comfort communicating with physicians, patients, and healthcare professionals.
Ability to plan, organize, and coordinate multiple work assignments and maintain effective work relationships.
Ability to read, write, interpret, and apply instructions to assigned activities.
Experience using basic office equipment.
Familiarity with confidentiality requirements and security of research-subject data.

Nice To Haves

Associate’s degree in clinical research or a related field.
Knowledge of EMR systems such as PowerChart, clinical trial management systems such as OnCore, or other data-entry systems.
Clinical-trial experience.
Previous experience in a medically related field or research field, or an understanding of medical terminology.
Coursework or experience in medical terminology, anatomy, or physiology.
Experience interpreting different parts of a medical record.

Responsibilities

Abstract data for a diverse portfolio of GU research studies by accessing and integrating information from multiple technology systems and data sources.
Protect patient privacy and maintain high-quality data through internal database checks, quality audits, and resolution of data queries from internal or external reviews.
Collaborate with the study manager to document and report patient enrollment, treatment, and follow-up in study databases, including protocol adherence, adverse events, and treatment outcomes.
Set expectations and timelines for deliverables and proactively communicate with customers.
Attend and actively participate in multidisciplinary tumor boards, staff meetings, disease-site program research meetings, and role-specific meetings.
Review and synthesize medical-record information to extract study data as specified by research protocols.