Radiology Data Annotator (Tumor Contour)

Publication Date:  Nov 19, 2023
Ref. No:  446317

Irving, Texas, US, 75063-2738

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Radiology Data Annotator

Location: Remote (US Wide)

The primary function of the role is to abstract and code information from patient medical records to obtain clinical and research data and work with the Tumor Measurement Initiative (TMI).


Experience Required:

Radiologist with at least 3 years of experience reviewing tumor contours

Experience in tumor registry, healthcare or related field.

Additional years of education may be substituted for required experience on a one to one-year basis.


Three years of experience in scientific or experimental research work. With preferred degree, one year of required experience


Curate and annotate imaging data and associated data collected at the institution to support development and validation of automate tools to facilitate future image analysis and quantitative imaging research with a longer-term goal of clinical translation and implementation.

AI techniques are being developed to segment (e.g. delineate the boundary) tumors and normal tissues efficiently and automatically perform forma significant impact on image guidance techniques.

Direct experience using RayStation for image analysis, segmentation, and annotation is required.

Familiarity with DICOM standards, PACS integration, RIS, HL7 standards is highly preferred.

Must be adaptable to change, interact with co-workers and customers in a positive manner, and efficiently communicate.

1.Generation of annotations for TMI automation a. Generating manual segmentations on images to support TMI automation algorithm training and test data b. Clearly communicate and coordinate with subject matter experts to ensure appropriate oversight and review of annotations. c. Prepare timely annotation progress updates for TMI sponsor reporting. d. Collaborate with TMI Automation team on use of tools and processes which can be leveraged for segmentation and / or XNAT IQ cohort curation.

2. Work with Engineering Data Engineering Analytics Team to: a. Identify new data sets and elements required to support TMI (e.g., genetic mutations from molecular diagnostics). b. Obtain knowledge and guidance on use of context engine tools (e.g., Foundry, Slicer Dicer, etc.) for cohort curation and development of data sets required to support TMI.

3. Record Keeping and Data Collections: a. Maintain accurate, detailed records and data and protocols. b. Prepare summary tables and graphs for data tracking and as required c. Collaborate with subject matter experts to document procedures as needed to support &/or sustain program initiatives.

4. Demonstrate and practice data governance precautions. a. Receive verbal and/or written instructions from supervisor on standards and specialized data governance procedures. b. Attend required courses/certification for human subjects research c. Have working knowledge of imaging-related platforms – with reference to procedure manuals whenever necessary. d. Monitor workflow as it pertains to the need for additional data ingress requests, alignment/coverage by IRB and material transfer agreement requirements for data collaborations.

5. Organization and performance of TMI procedures and workflows a. knowledge of ongoing techniques and enhance proficiency in planning, executing, and troubleshooting these techniques. b. Participate in adopting new techniques while continuously increasing knowledge and skills to enhance research efforts. c. Maintain assertiveness and flexibility in approaching new techniques and responsibilities; utilize good work habits and time management.

6. Written and Verbal Communication to support research activities: a. Assist with writing and submitting abstracts, research project plans, grants, protocols and manuscripts b. Provide regular verbal updates on progress to the TMI team

7. Other duties as assigned by PI or supervisor.

Bachelor's degree in Radiology or related field





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