• Application Deadline:
• Position: Medical Data Team



• Job Type Full Time , Remote



• Qualification BA/BSc/HND



• Experience



• Location Lagos




• Job Field Medical / Healthcare 
  
  

• We are seeking a detail-oriented Medical Data Intern/Supervisor to join our team on a project focused on cleaning and validating radiology data records. This is an excellent opportunity to contribute meaningfully while developing your technical and analytical skills. The ideal candidate is meticulous, organized, and committed to ensuring data accuracy and integrity.

Responsibilities:

• Perform data cleaning, standardization, and validation on radiology datasets.


• Review, label, and organize medical imaging metadata and related clinical information.


• Identify and correct data errors, inconsistencies, and duplicates in line with established protocols.


• Maintain clear documentation of progress, findings, and any anomalies identified.


• Ensure timely delivery of assigned tasks and quality-assured datasets.


• Support other tasks related to the data standardization process as required.


• Collaborate with relevant teams to ensure consistency and adherence to internal data management standards.


• Uphold all data privacy, confidentiality, and integrity requirements throughout the project.


• Demonstrate remote work professionalism, including effective communication, accountability, and responsiveness in a virtual team environment.

Requirements

• Bachelor’s degree in Radiological Sciences, Medical Imaging, or a related discipline.


• Recent experience working with medical imaging and datasets, particularly in image identification, data cleaning, validation, or standardization, is preferred.


• Proven ability to maintain accuracy and consistency while handling large data volumes.


• Strong analytical and problem-solving skills, with excellent attention to detail.


• Digitally savvy, with proficiency in Microsoft Excel, Google Sheets, or other data management tools.


• Strong written and verbal communication skills, with the ability to collaborate effectively in a fast-paced environment.


• Demonstrated ability to work independently, take initiative, and deliver results within strict deadlines.


• Commitment to upholding data privacy, confidentiality, and integrity in all tasks.