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Information Technology
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177845 Requisition #
Thanks for your interest in the Senior Data Engineer - Healthcare AI position. Unfortunately this position has been closed but you can search our 339 open jobs by clicking here.

Required Education: Bachelor's degree.

Preferred Education: Master’s Level Degree

Preferred Certification: Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 days of date of entry into job.

Preferred Certification: Any of the following:

Azure Data Engineer Associate (DP-203), 
EPIC Cogito Certification,
HIPAA Privacy & Security Certification, 
HL7/FHIR Certification. 

Required Experience: Five years of relevant information technology experience. May substitute required education with years of related experience on a one-to-one basis. With preferred degree, three years of experience required.

Preferred Experience: Healthcare experience in AI/ML space is a must, two years of industry experience in a Senior Data Scientist role, knowledge of data privacy, security, and HIPAA compliance in healthcare. 

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time offretirement, tuition benefits, educational opportunities, and individual and team recognition.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

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

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