Ronald S.

Key Skills

Software

No software listed

Top Subject Matter

Clinical oncology/hematology patient documentation and structured database record preparation

Clinical trial documentation

adverse-event/source data integrity

Top Data Types

Document

Text

Top Task Types

Data Collection

Freelancer Overview

Hematology/Oncology Fellow, MD Anderson Cancer Center (July 2020 - June 2023). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Epic. Education includes Fellowship in Hematology and Oncology, MD Anderson Cancer Center (2023) and Residency in Internal Medicine, UT Southwestern Medical Center (2020). AI-training focus includes data types such as Document and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Attending Medical Oncologist, Northwest Oncology (July 2023 - Present)

Document

Coordinated Phase II/III trial activities that require meticulous source-document integrity, adverse-event logging, and sponsor-registry data alignment for correct dataset construction. Maintained high EMR documentation accuracy in Epic to strengthen compliance and care-continuity, enabling reliable labeled clinical data for trials and analytics. Served as a multidisciplinary leader whose inputs help determine structured clinical record content for complex oncology cases. • Monitored enrollment metrics and adverse-event logs for trial dataset correctness • Ensured sponsor-registry data and source documentation were consistent and auditable • Sustained 99% EMR documentation accuracy in Epic for data integrity • Participated in tumor-board decisions that translate into structured clinical records

2023 - Present

Hematology/Oncology Fellow, MD Anderson Cancer Center (July 2020 - June 2023)

DocumentData Collection

Authored auditable patient-care narratives that were translated into structured institutional database records, supporting downstream clinical data use and integrity. Acted as a supervising fellow in high-volume inpatient and outpatient settings where accurate documentation is required for data quality. This work functioned as clinical documentation labeling/structuring rather than traditional software development. • Converted complex clinical presentations and interventions into structured records • Ensured narratives were accurate and suitable for audit/traceability • Supported treatment-toxicities and palliative symptom documentation for database capture • Managed documentation workflows across solid tumors and malignant hematology cases

2020 - 2023

Education

Work History