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Medical Image Annotation Jobs in Missouri (NOW HIRING)

Medical Image Annotation information

What is medical image annotation?

Medical image annotation is the process of labeling or marking specific structures, regions, or abnormalities in medical images such as X-rays, CT scans, or MRIs. These annotations are crucial for training artificial intelligence (AI) models to assist in diagnostics, research, and treatment planning. Expert annotators, often with medical backgrounds, use specialized software to ensure accuracy and consistency. This work helps improve the performance of AI systems in identifying diseases and supporting healthcare professionals.

What are the key skills and qualifications needed to thrive as a medical image annotation specialist?

To excel as a Medical Image Annotation Specialist, you need a solid understanding of medical imaging modalities, anatomy, and basic clinical terminology, often supported by relevant education or experience in healthcare or life sciences. Familiarity with annotation software, image processing tools, and sometimes specialized platforms like DICOM viewers is typically required. Attention to detail, precision, and effective communication are crucial soft skills for ensuring accuracy and collaborating with clinical or research teams. These competencies are vital because high-quality, accurate annotations directly impact the development of AI models and the reliability of diagnostic tools in healthcare.

What are some common challenges faced by professionals in medical image annotation roles, and how can they be addressed?

Medical image annotation professionals often encounter challenges such as interpreting complex or ambiguous images, ensuring consistency across annotations, and keeping up with evolving medical guidelines. To address these challenges, many teams implement standardized protocols, regular training sessions, and peer review systems to maintain accuracy and reliability. Collaboration with radiologists and other medical experts is also common, allowing annotators to clarify uncertainties and improve the quality of annotations over time.

What is the difference between Medical Image Annotation vs Medical Data Labeling?

AspectMedical Image AnnotationMedical Data Labeling
Required CredentialsBasic understanding of medical imaging, attention to detailSimilar, often no formal certification needed
Work EnvironmentMedical imaging platforms, annotation toolsData management systems, labeling software
Industry UsageHealthcare, medical AI developmentHealthcare, medical AI, data analysis
Search & Comparison IntentYes, often compared for AI training rolesYes, related but broader in data types

Medical Image Annotation involves marking specific regions or features in medical images like X-rays or MRIs to train AI models. Medical Data Labeling encompasses annotating various medical data types, including images, text, and reports. While both roles support medical AI development, Image Annotation is specialized in visual data, whereas Data Labeling covers a wider range of medical information.

What job categories do people searching Medical Image Annotation jobs in Missouri look for?

The top searched job categories for Medical Image Annotation jobs in Missouri are:

What cities in Missouri are hiring for Medical Image Annotation jobs?

Cities in Missouri with the most Medical Image Annotation job openings:

Senior Lab and Medical Director, Computational Pathology

Jobtailor

California, MO • On-site

$250 - $450/hr

Other

Posted 8 days ago


Job description

  • Provide clinical leadership for delivery of computational pathology laboratory services and products
  • Provide clinical oversight of Anatomic Pathology and Molecular Pathology laboratory operations
  • Provide clinical signout and final diagnostic interpretation for molecular and/or anatomic pathology cases
  • Define internal strategy for computational pathology service development
  • Co-lead computational pathology product development with Technology and Product Development teams
  • Provide clinical input on use cases, annotation strategy, validation study design, regulatory submissions, software workflows, and launch readiness
  • Contribute to manuscripts and conference posters for computational pathology products
  • Explore partnerships expanding computational and molecular pathology services
  • Ensure testing systems provide quality services across pre-analytic, analytic, and post-analytic phases
  • Act as temporary Laboratory Director in the Laboratory Director's absence
  • Delegate technical, supervisory, clinical consultation, and testing responsibilities to qualified employees
  • Perform administrative duties for laboratory leadership and testing personnel
  • Ensure laboratory duties, onsite supervision, quality control, proficiency testing, personnel competency, safety, procedures, and regulatory requirements are fulfilled
  • Review standard operating procedures biennially and oversee corrective actions for unacceptable performance
  • Travel approximately 15% and adjust hours based on operational needs
Requirements
  • Must be a Doctor of Medicine or Doctor of Osteopathy licensed to practice medicine or osteopathy in California; OR meet an alternative listed laboratory-director qualification
  • Certification in Anatomic or Clinical Pathology by the American Board of Pathology or American Osteopathic Board of Pathology, or equivalent qualifications; OR at least one year of laboratory training during medical residency; OR at least two years directing or supervising high-complexity testing; OR prior industry experience at a diagnostics, biotech, or digital health company
  • Experience with whole-slide imaging platforms, image analysis software, or validation of AI/ML-based algorithms
  • Track record of peer-reviewed publications or conference presentations in pathology, oncology, or computational pathology
  • Experience contributing to regulatory submissions, including 510(k), PMA, or LDT validation packages
  • Familiarity with next-generation sequencing and liquid biopsy testing
  • Earned doctoral degree in chemical, physical, biological, or clinical laboratory science from an accredited institution and certification by an HHS-approved board, or satisfy the stated grandfathered laboratory-director qualifications
  • Must fulfill requirements stated in 42 CFR 493.1443
  • Must fulfill requirements stated in the College of American Pathologists Checklist
  • Demonstrated curiosity, sound judgment, and ability to critically evaluate and responsibly use AI-enabled tools under company policies, ethical standards, and regulatory requirements
  • Background screening including criminal history is required
  • Ability to travel approximately 15%
  • Ability to work varying hours and days based on operational needs
  • Ability to sit or stand for extended periods and work around laboratory hazards, blood specimens, fumes, noise, and biohazard materials
Core Competencies

Demonstrates expertise in clinical leadership and oversight of Anatomic and Molecular Pathology laboratory operations, with a strong focus on computational pathology service development and regulatory compliance. Proven ability to contribute to product development, validation studies, and peer-reviewed publications in the field.

Highest-signal resume keywords
  • Doctor Of Medicine Or Doctor Of Osteopathy
  • Certification In Anatomic Or Clinical Pathology
  • Experience With Whole-Slide Imaging Platforms
  • Regulatory Submissions Experience
  • Next-Generation Sequencing Familiarity
ATS Optimization Keywords Hard Skills
  • Clinical Oversight
  • Diagnostic Interpretation
  • Computational Pathology Development
  • Quality Control
  • Regulatory Compliance
  • AI/ML Algorithm Validation
  • Laboratory Management
  • Image Analysis Software
  • Proficiency Testing
  • Standard Operating Procedures Review
Soft Skills
  • Curiosity
  • Sound Judgment
  • Critical Evaluation
  • Delegation
  • Communication
Certifications & Qualifications
  • Doctor Of Medicine License
  • Doctor Of Osteopathy License
  • American Board Of Pathology Certification
  • American Osteopathic Board Of Pathology Certification
Industry Keywords
  • Computational Pathology
  • Anatomic Pathology
  • Molecular Pathology
  • Liquid Biopsy Testing
  • Oncology
  • Diagnostics
  • Biotech
  • Digital Health
  • 42 CFR 493.1443
  • College Of American Pathologists Checklist
Tools & Technologies
  • Whole-Slide Imaging Platforms
  • Image Analysis Software
  • AI-Enabled Tools
  • Laboratory Information Systems
  • Validation Study Design
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