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Remote Medical Image Analysis Jobs in Virginia (NOW HIRING)

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

GeoYeti

Senior SAR Imagery Scientist

Springfield, VA · Remote

$190K - $235K/yr

This role blends remote sensing science with applied data engineering and AI. What You'll Do ... Analyze image quality and sensor metadata to guide imagery acquisition and curation priorities

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All JobsMedical Image Analysis JobsRemote Medical Image Analysis JobsRemote Medical Image Analysis Jobs in Virginia

Remote Medical Image Analysis information

How do remote medical image analysts typically collaborate with radiologists and other healthcare professionals?

Remote medical image analysts frequently work closely with radiologists, physicians, and sometimes technologists through secure digital platforms. Collaboration often involves participating in virtual meetings, discussing cases via messaging or video calls, and providing preliminary analysis or second opinions on imaging studies. Clear communication and timely reporting are essential, as analysts may be supporting multiple locations or time zones. This collaborative approach ensures high-quality patient care and helps maintain accuracy in diagnostic interpretations.

What is the difference between Remote Medical Image Analysis vs Remote Radiology Assistant?

AspectRemote Medical Image AnalysisRemote Radiology Assistant
CredentialsMedical imaging certifications, radiology trainingRadiology assistant certification, radiology tech background
Work EnvironmentRemote, computer-based analysis of medical imagesRemote support role assisting radiologists, often computer-based
Industry UsageHospitals, imaging centers, telemedicine providersRadiology departments, telehealth services
Search & Comparison IntentUnderstanding roles in medical imaging analysisSupporting radiologists remotely

Remote Medical Image Analysis involves interpreting medical images like MRIs and CT scans, requiring specialized medical credentials. Remote Radiology Assistants support radiologists by preparing and managing images, often with similar certifications. Both roles are remote, industry-specific, and involve medical imaging, but differ in responsibilities and level of medical expertise.

What is remote medical image analysis?

Remote medical image analysis involves the interpretation and evaluation of medical images, such as X-rays, MRIs, or CT scans, by specialists who are not physically present at the healthcare facility. Using secure digital platforms, radiologists and other healthcare professionals can access, analyze, and share findings with medical teams across different locations. This practice enhances the speed and efficiency of diagnoses, provides access to expert opinions regardless of geography, and supports collaboration for complex cases.

What are the key skills and qualifications needed to thrive in remote medical image analysis?

To thrive in Remote Medical Image Analysis, you need a solid background in medical imaging, anatomy, and pathology—often supported by a degree in medical imaging, radiology, or a related field. Familiarity with advanced imaging software (such as PACS, DICOM viewers, or AI-based diagnostic tools) and relevant certifications like ARRT or equivalent are typically required. Strong attention to detail, analytical thinking, and effective communication are standout soft skills in this role. These skills and qualifications are crucial to ensure accurate, timely diagnoses and effective collaboration with healthcare teams from a distance.

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Remote Medical Image Analysis jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Richmond, VA • Remote

$70 - $90/hr

Part-time

Posted 17 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

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