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Remote Domain Expert – Diagnostic Imaging (Visage 7 Research) - AI Trainer ($90-$130 per hour)Mercor • Columbia, Missouri, US
Remote Domain Expert – Diagnostic Imaging (Visage 7 Research) - AI Trainer ($90-$130 per hour)

Remote Domain Expert – Diagnostic Imaging (Visage 7 Research) - AI Trainer ($90-$130 per hour)

Mercor • Columbia, Missouri, US
2 days ago
Salary
$90.00 hourly
Job type
  • Full-time
  • Remote
Job description
# Domain Expert – Diagnostic Imaging (Visage 7 Research) To qualify you must use Visage 7 regularly — weekly or more — as a working part of your job, with 2+ years of professional experience in radiology, imaging operations, or imaging IT. ## Visage 7 knowledge we require ### Study interpretation & measurement - Establishing a patient's current imaging position as of a given study date, and comparing it against the relevant prior — not just the most recent one - Distinguishing a measurement or annotation that has been saved and persisted from one that exists only in the open session - Reading multi-series, multi-timepoint studies; knowing when a finding requires additional imaging, a critical-results call, or subspecialty over-read versus a routine sign-off - Quantitative work where applicable: RECIST/PERCIST timepoint tracking, SUV values and their calibration dependencies, vessel and volume measurement, fusion and registration accuracy ### Patient & study records - Patient / study / series / instance hierarchy, and the identifiers that bind them — MRN, accession number, Study Instance UID, procedure code - Recording interpretation and communication history accurately, including on partial, preliminary, or handed-off information - Setting and interpreting follow-up recommendations, flags, and recall dates on a patient's record ### Worklist & reading workflow - Worklist construction, filters, and study status transitions (scheduled, arrived, read-in-progress, dictated, preliminary, final, addended) - Claiming and releasing studies; recognizing what a preliminary or wet read commits you to versus a signed final report - Distinguishing what is confirmed from what is assumed when picking up a study mid-read or inheriting a shift handoff - Prior fetching and relevance rules — why an expected prior is absent, and what to do about it ### Reference & configuration data - Hanging protocols, display protocols, and window/level presets, and how configuration constrains what a reader can see by default - Procedure code and protocol mapping, series descriptions, and how upstream acquisition labeling determines downstream display - DICOM tag-level familiarity sufficient to diagnose a mis-hung, mis-labeled, or mis-routed study - Cross-system references where relevant: RIS/EHR order, dictation system, AI result overlays ### Regulatory & clinical standards - Applying the organization's own protocol, dose, and reporting standards to determine whether a study is complete and interpretable - Version and currency awareness — which protocol, template, or criteria set applies as of the study date, not as of today - Where relevant to your role: MQSA, ACR accreditation and dose registry requirements, critical-findings communication policy, information-blocking and patient-release rules ### Audit & handoff - Recording findings, measurements, key images, and open items so the next reader, the ordering clinician, or a tumor board can see exactly what was concluded and what remains outstanding - Persistence of annotations, presentation states, and key-image selections so a later viewer reproduces what you saw - Peer review, discrepancy, and amendment workflows; audit trail and access logging ## What you'll do - Confirm the patient's imaging record reflects what was actually acquired and actually concluded, not what is assumed — especially on partial handoffs and incomplete studies - Work out the current imaging position as of the relevant study date, compared against the correct prior, and record it with a follow-up recommendation where indicated - Distinguish session-only actions from those that persist to the record and affect downstream readers - Judge completeness: is the study interpretable, is the correct prior available, is anything left open that shouldn't be, is the record ready for the next reader or for conference - Verify recorded outcomes are traceable — reproducible and auditable, not just noted informally ## Requirements - Frequent Visage 7 use — weekly or more — in your current or recent role - 2+ years of professional experience in diagnostic radiology, imaging technology, imaging operations, or PACS/imaging informatics - Reflexive familiarity with study status transitions, prior comparison, and the preliminary-versus-final distinction - One of the following: - MD/DO with radiology residency or fellowship training (board certification or eligibility preferred), or - ARRT, RDMS, NMTCB, or equivalent technologist credential with hands-on advanced-visualization experience, or - Bachelor's degree in health informatics, medical imaging, computer science, or a related field, plus imaging informatics certification (CIIP, PARCA) or equivalent hands-on PACS administration experience
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Remote Domain Expert – Diagnostic Imaging (Visage 7 Research) - AI Trainer ($90-$130 per hour) • Columbia, Missouri, US

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