MD Anderson Cancer Center Research Asst II- IP Research in Houston, Texas

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

Analyze and acquire curated data for deep learning/AI projects, including segmenting anatomical structures on CT and MR images

JOB SPECIFIC COMPETENCIES

  1. Research Analyze and acquire curated data for deep learning/AI projects, including segmenting anatomical structures on CT and MR images

  2. Communication Participate in writing progress reports to the sponsoring agencies, preparation of manuscripts for publication in journals, and at scientific meetings, and develop preliminary data for future grant submissions

  3. Administration Demonstrate knowledge and "can-do-it" skills with various computing platforms to help with clinical and preclinical research projects including developing, implementing, and evaluating imaging data acquisition, reconstruction and visualization techniques.

  4. Other Duties As Assigned.

    EDUCATION

    Required Education : Bachelor's degree with major course works in one of the basic sciences.

    Preferred Education: Doctorate (Professional)

    EXPERIENCE

    Required Experience: Two years of experience in scientific or experimental research work. No experience required with preferred degree.

    Preferred Experience: Ideal candidates should have strong background in deep learning.

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