MercorDeeptune InternalPosted 18 Aug 2026

Domain Expert – Diagnostic Imaging (Visage 7 Research)

Pay

$90–130/hr

Work

Remote · Contract · 40 hrs/wk

Experience

2+ years

Eligibility

No stated location restriction

Field

Medicine & healthcare

Skills

Visage 7Diagnostic RadiologyMedical ImagingImaging InformaticsPACSPACS AdministrationDICOMRadiology Study InterpretationRECIST/PERCIST CriteriaSUV MeasurementImage Fusion and RegistrationVessel and Volume MeasurementRIS/EHR IntegrationRadiology Worklist ManagementHanging ProtocolsDisplay ProtocolsDICOM Tag AnalysisRadiology ReportingMQSAACR AccreditationDose Registry RequirementsCritical Findings PolicyAudit TrailsPeer Review WorkflowsARRT/RDMS/NMTCB Certification

About this role

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:

Similar AI training jobs

All AI training jobs