Informatics Clinical Data Curator (1099 Contract)

Florida Cancer Specialists•Florida - Remote, FL

4d•Remote

About The Position

The Informatics Clinical Data Curator navigates healthcare systems and databases to review patient records and curate disease- or project-specific data. This role works with multiple teams and business units in a fast-paced, dynamic environment with changing priorities. It requires in-depth knowledge of oncology and hematology and a focus on generating healthcare insights that improve patient care. As an influential member of the Informatics team, the curator serves as a subject matter expert on clinical data elements and contributes to establishing trusted data.

Requirements

A minimum of an associate-level degree in nursing or a bachelor's degree in healthcare, business analytics, management information systems, or another related field.
A minimum of 2 years of experience in oncology or hematology.
Basic understanding of ICD-10 coding.
Proficiency in Microsoft Word, Excel, PowerPoint, and Outlook.
Strong interpersonal skills, including effective verbal and written communication.
Solid time management and ability to prioritize multiple tasks.
Ability to collaborate across management levels, departments, and teams.
Basic understanding of data and data quality.
Analysis and critical-thinking skills.

Nice To Haves

Healthcare professional degree qualification, such as RN, Ph.D., MD, CPhT, or MA.
Oncology Certified Nurse certification or similar oncology certification.
Experience with OncoEMR.
Familiarity with SQL.

Responsibilities

Manually review patient charts to curate data from unstructured data sources.
Determine which information is available discretely versus non-discretely in FCS systems.
Define data element requirements to assist with SQL queries for structured data.
Organize data from multiple sources, including retrospective and concurrent medical record curation.
Use critical thinking to determine the source of truth when encountering conflicting data.
Identify root causes of data anomalies and data quality issues using critical thinking and logic, with attention to detail.
Assist with protocol design and writing.