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Working Student, Medical AI Data Annotation, Clinical Research
cureVision. Annotate and label medical data, such as wound images and clinical data, to train, validate, and continuously improve AI models .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in medical terminology, clinical workflows, and pathophysiology while contributing to data annotation and scientific communication. Proficient in coordinating with research teams and external partners to enhance AI model training and improve patient care.
Highest-signal resume keywords
Medical TerminologyData AnnotationArtificial IntelligenceScientific WritingCommunication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnnotationLabeling ToolsStructured Data EntryClinical WorkflowsPathophysiology
Soft Skills
Detail-OrientedOrganizedTeam CollaborationIndependent WorkStrong Communication
Industry Keywords
Medical InnovationDigital HealthMedical TechnologyClinical StudiesScientific Communication
About the role
Key responsibilities & impact- Annotate and label medical data, such as wound images and clinical data, to train, validate, and continuously improve AI models
- Help develop and refine annotation guidelines and quality-control checks with the AI and research team
- Review and audit annotated datasets to maintain high data quality and inter-annotator agreement
- Support the design and planning of clinical and preclinical studies with the founding and research teams
- Conduct literature research and data collection for ongoing and upcoming projects
- Contribute to scientific communication, including posters and publications
- Prepare and deliver presentations at internal meetings, conferences, and scientific events
- Help coordinate communication with study sites, investigators, and external partners
Requirements
What you’ll need- You are enrolled in an advanced stage of medical studies
- You have a strong understanding of medical terminology, clinical workflows, and pathophysiology
- You have experience with, or a strong interest in, data annotation, labeling tools, or structured data entry
- You have first experience or strong interest in artificial intelligence, digital health, or medical technology
- You are precise, detail-oriented, organized, and enjoy working independently and as part of a team
- You have strong communication skills in English
- Experience with scientific writing or poster design is a plus
- You are enthusiastic about medical innovation and improving patient care
Benefits
Comp & perks- Working student position with 20 hours/week, competitive salary, and flexible working hours
- Responsible work on innovative medical solutions that aim to improve care for millions of patients
- Learning and working in a dynamic startup with flat hierarchies and direct collaboration with the founding team
- A combination of remote work and office