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

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.