Lawrence D.

Key Skills

Software

Other

Top Subject Matter

Medical/Clinical AI Content

Medical/Clinical Research

Medical/Clinical Education

Top Data Types

Text

Document

Top Task Types

Diagnosis

Freelancer Overview

Medical Content Reviewer (Part-time, Remote) – Osmosis (Elsevier). Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Doctor of Medicine, University of Michigan Medical School (2021) and Master of Science, Case Western Reserve University School of Medicine (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Diagnosis.

Labeling Experience

Tutor – USMLE Step 2 & Clinical Reasoning

OtherText

In my tutoring role, I provide structured feedback on student-written clinical explanations related to diagnosis and treatment. My work focuses on reviewing AI-like outputs in response to medical scenarios, assessing for accuracy and guideline compliance. I apply rubric-based evaluation to facilitate improvement in clinical reasoning and medical text quality. • Reviewed and evaluated student medical case explanations for accuracy. • Applied structured rubrics mirroring AI safety and quality standards. • Trained students in diagnostic reasoning and evidence-based assessment. • Delivered ongoing, remote feedback on clinical text responses.

2023 - Present

Medical Content Reviewer (Part-time, Remote) – Osmosis (Elsevier)

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I evaluated and reviewed over 150 medical explanation texts for clinical accuracy and safety using structured rubrics. My responsibilities included editing for clarity, flagging errors or unsafe recommendations, and ensuring that each explanation met defined guidelines before publication. I applied my clinical knowledge to assess medical content and safeguard against misinformation. • Used structured rubrics (7-9 criteria) to assess medical text content. • Identified and flagged unsafe or outdated recommendations in clinical AI explanations. • Ensured alignment with medical standards and accuracy pre-publication. • Maintained quality assurance for AI-generated medical outputs.

2023 - 2024

Clinical Research Assistant – Case Western Reserve University/University Hospitals

OtherTextDiagnosis

I assisted in the annotation of patient case data to support clinical research and AI tool development. This included summarizing peer-reviewed clinical studies and identifying critical data points within medical literature. I contributed to powering AI decision support systems by accurately labeling relevant clinical details. • Annotated patient case data for AI/clinical decision tool development. • Summarized over 200 clinical studies into structured data tables. • Detected bias, gaps, and inconsistencies in labeled medical texts. • Enhanced data quality for research and AI-driven diagnostics.

2021 - 2022

Education

Work History