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I

Irene Irasor

Medical Imaging Data Annotator (Clinical Research Assistant)

Nigeria flagIle-Ife, Nigeria
$15.00/hrIntermediateAnno MageAws SagemakerAppen

Key Skills

Software

Anno-MageAnno-Mage
AWS SageMakerAWS SageMaker
AppenAppen

Top Subject Matter

Oncology Domain Expertise
Radiology Domain Expertise
Medical Imaging

Top Data Types

TextText
ImageImage
Medical DicomMedical Dicom

Top Task Types

ClassificationClassification
Bounding BoxBounding Box
SegmentationSegmentation
Point/Key PointPoint/Key Point

Freelancer Overview

Medical Imaging Data Annotator (Clinical Research Assistant). Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Science, Obafemi Awolowo University (2021) and Bachelor of Science, Ambrose Alli University (2015). AI-training focus includes data types such as Medical and DICOM and labeling workflows including Classification.

IntermediateEnglish

Labeling Experience

Medical Imaging Data Annotator (Clinical Research Assistant)

Classification
As a Clinical Research Assistant, I analyzed medical images such as X-ray, CT scans, MRI, and mammograms using AI tools to support oncology studies. My responsibilities included categorizing, identifying, and annotating medical data for AI model training and research. Collaborated with radiologists to ensure precise labeling of critical diagnostic information. • Performed detailed image labeling and categorization using AI-driven annotation platforms. • Worked with multidisciplinary teams to enhance data quality for oncology research. • Ensured compliance with clinical research protocols and data standards. • Contributed to ongoing improvement of AI-assisted diagnostic accuracy.

As a Clinical Research Assistant, I analyzed medical images such as X-ray, CT scans, MRI, and mammograms using AI tools to support oncology studies. My responsibilities included categorizing, identifying, and annotating medical data for AI model training and research. Collaborated with radiologists to ensure precise labeling of critical diagnostic information. • Performed detailed image labeling and categorization using AI-driven annotation platforms. • Worked with multidisciplinary teams to enhance data quality for oncology research. • Ensured compliance with clinical research protocols and data standards. • Contributed to ongoing improvement of AI-assisted diagnostic accuracy.

2021 - Present

Education

A

Ambrose Alli University

Bachelor of Science, Biochemistry

Bachelor of Science
2011 - 2015
O

Obafemi Awolowo University

Master of Science, Biochemistry and Molecular Biology

Master of Science
2021

Work History

A

African Research Group for Oncology

Clinical Research Assistant

Ile-Ife
2021 - Present
F

FHI 360

Community Health Data Analyst

N/A
2019 - 2021