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Clinical Data Abstracter - Thoracic Imaging

Company: University of Texas M.D. Anderson
Location: Houston
Posted on: September 24, 2022

Job Description:

The ideal Clinical Data Abstractor will have experience in contouring tumors for medical radiology images. This candidate will also have experience with data mining, analyzing it and/or working with large data sets. If the candidate has experience as an annotator, the department can teach the individual how to analyze the data. Internal candidates are welcomed. This is a remote position.


The mission of The University of Texas MD Anderson Cancer Center is to eliminate cancer in Texas,

the nation, and the world through outstanding programs that integrate patient care, research and

prevention, and through education for undergraduate and graduate students, trainees, professionals,

employees and the public.


The primary function of the Clinical Data Abstractor role is to abstract and codes information from

patient medical records to obtain clinical and research data and work with the Tumor Measurement

Initiative (TMI). The Tumor Measurement Initiative aims to build an institutional platform to

support standardized, automated, quantitative imaging-based tumor measurement across each patient's

journey to advance multidisciplinary, data-driven, high precision cancer treatment. This individual

be responsible for annotating images, meticulous record keeping including procedural documentation,

and participating in optimization of TMI procedures and workflows to fulfil this objective. They

will also have oversight and management of imaging databases associated with TMI and research

projects. Scope includes regular collaboration and verbal updates with TMI and lab team members.


Caring: By our words and actions we demonstrate caring toward everyone.

* We are sensitive to the concerns of our patients, their loved ones and our


* We are respectful and courteous to each other and practice cultural humility.
* We promote and reward teamwork and inclusion.

Integrity: We work together with professionalism to merit the trust of our colleagues and those we

serve in all that we do.

* We hold ourselves, and each other, accountable for our work - decisions and data -

and for practicing our values and ethics.

* We advocate for diversity and equity for our workforce, for those we serve and for

our community.

* We communicate frequently, honestly, openly and responsibly.

Discovery: We embrace creativity and seek new knowledge from diverse perspectives.

* We encourage continuous learning, seeking out information and new ideas.
* We team with each other to identify and resolve problems.
* We seek personal growth and enable others to do so.

Safety: We provide a safe environment - physically and psychologically - for our patients, for our

colleagues and for our community.

* We create a sense of security and empowerment and are committed to keeping one

another free from harm.

* We embrace a framework and best practices for the highest quality of care and


* We inspire trust by modeling excellence in our work and acceptance of each person's


Stewardship: We protect and preserve our institutional reputation and the precious resources -

people, time, financial and environmental - entrusted to us.

* We prioritize the health and well-being of each other.
* We act responsibly to safeguard the institution's finances.
* We ensure the proper care and use of time, data, materials, equipment and property

afforded to us.


The goals of our research are to 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


Artificial intelligence (AI) techniques are being developed to segment (e.g. delineate the boundary) of tumors and normal tissues. The ability to efficiently and automatically perform this task will have a significant impact on image guidance techniques. The segmentation and pre-treatment analysis information will be used as input to the biomechanical model-based registration to optimize the accuracy of the algorithm. 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 and able to interact with co-workers and customers in a positive manner, as well as communicate in an effective manner.

1. Generation of annotations for TMI automation

* Generating manual segmentations on images to support TMI automation algorithm training and test data
* Clearly communicate and coordinate with subject matter experts to ensure appropriate oversight and review of annotations.
* Prepare timely annotation progress updates for TMI sponsor reporting.
* 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:

* Identify new data sets and elements required to support TMI (e.g., genetic mutations from molecular diagnostics).
* 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 Collection:

* Maintain accurate, detailed records and data and protocols.
* Prepare summary tables and graphs for data tracking and as required
* Collaborate with subject matter experts to document procedures as needed to support and / or sustain program initiatives.

4. Demonstrate and practice data governance precautions.

* Receive verbal and/or written instructions from supervisor on standards and specialized data governance procedures.
* Attend required courses/certification for human subjects research
* Have working knowledge of imaging-related platforms - with reference to procedure manuals whenever necessary.
* 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

* Expand knowledge of ongoing techniques and enhance proficiency in planning, executing, and troubleshooting these techniques.
* Participate in adopting new techniques while continuously increasing knowledge and skills to enhance research efforts.
* 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:

* Assist with writing and submitting abstracts, research project plans, grants, protocols and manuscripts
* Provide regular verbal updates on progress to the TMI team

7. Other duties as assigned by PI or supervisor.

High school diploma or equivalent. Two years of 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. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

Additional Information

* Requisition ID: 152940
* Employment Status: Full-Time
* Employee Status: Regular
* FLSA: non-exempt, eligible for overtime, and is subject to the provisions of the Fair Labor Standards Act (FLSA)
* Work Week: Days
* Fund Type: Soft
* Work Location: Onsite
* Pivotal Position: No
* Minimum Salary: US Dollar (USD) 39,500
* Midpoint Salary: US Dollar (USD) 49,500
* Maximum Salary : US Dollar (USD) 59,500
* Science Jobs: No

Keywords: University of Texas M.D. Anderson, Houston , Clinical Data Abstracter - Thoracic Imaging, Healthcare , Houston, Texas

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