Research Assistant II - Imaging Physics / Research Job at The University of Texas MD Anderson Cancer Center, Houston, TX

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  • The University of Texas MD Anderson Cancer Center
  • Houston, TX

Job Description

The University of Texas MD Anderson Cancer Center is ranked the nation's top hospital for cancer care by U.S. News & World Report's "Best Hospitals." MD Anderson's mission is to eliminate cancer in Texas, the nation and the world through exceptional programs that integrate patient care, research and prevention.

MISSION STATEMENT

The mission of The University of Texas M. D. 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.

SUMMARY

Provides technical assistance in carrying out various research projects.

JOB SPECIFIC COMPETENCIES

Coordinate with principal investigator in Imaging Physics and to streamline data flow for various projects.

Data collection and tracking

  • Review radiological system PACS and medical records EPIC to select the proper imaging data
  • Demonstrate ability to extract pertinent information and transfer this information accurately, completely and timely into appropriate data collection pipeline.
  • Develop and maintain database for tracking radiological data with high level of accuracy.
  • Assist in the establishment and maintenance of research data archival process.

Data curation and review

  • Work with XNAT team to transfer DICOM data to cloud based system for downstream preprocessing
  • Work with radiologist team to transfer the imaging data for detailed annotation, and collect and organize their annotations

Data reporting

  • Serve as an information source regarding status of data collection on given protocols for PI and sponsors. Meet regularly with the Project Manager and department PIs to discuss current status of projects and to maintain a consistent dialog and united focus.

The chosen candidate will provide technical assistance in carrying out various research projects while coordinating with Dr. Jia Wu in Imaging Physics to streamline data flow for various projects.

Work schedule: Hybrid (mixture of days onsite and days remote) - must live in Texas / Monday - Friday / 8am - 5pm

REQUIREMENTS

Education: Bachelor's degree with major course work in one of the computational sciences.
Preferred Education: Master's degree with major course work in one of the computational sciences.

Certification: None
Preferred Certification: None

Experience: One year of experience in scientific or experimental research work in artificial intelligence, imaging review, computational science and/or database development/management/QC. No experience required with preferred degree.
Preferred Experience: Experience with working in a multidisciplinary environment of oncology, radiology, and data science. Experience with PACS and HER systems.

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: 164645
  • Employment Status: Full-Time
  • Employee Status: Regular
  • Work Week: Days
  • Minimum Salary: US Dollar (USD) 43,500
  • Midpoint Salary: US Dollar (USD) 54,500
  • Maximum Salary : US Dollar (USD) 65,500
  • FLSA: exempt and not eligible for overtime pay
  • Fund Type: Soft
  • Work Location: Hybrid Onsite/Remote
  • Pivotal Position: Yes
  • Referral Bonus Available?: No
  • Relocation Assistance Available?: No
  • Science Jobs: No
#LI-Hybrid

Job Tags

Full time, Traineeship, Local area, Relocation package, Monday to Friday,

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