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Data Scientist - CCSG & Extramural Research Development

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Information Technology
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170009 Requisition #
Thanks for your interest in the Data Scientist - CCSG & Extramural Research Development position. Unfortunately this position has been closed but you can search our 228 open jobs by clicking here.

Education
Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.

Experience
Required: Three years experience in scientific software or industry development/analysis. With Master's degree, one years experience required. With PhD, no experience required.

Preferred: 

  • Minimum of five (5) or more years of relevant experience in data management, data integration, analysis, and project management within healthcare, research and/or academic environments.
  • Experience in data science solutions, data modeling, statistical analysis, application coding or programming, machine learning algorithms, data mining, or data visualization.
  • Ability to independently break down and understand complex business problems, define a solution, and implement it using advanced quantitative methods
  • ·        Demonstrated good analytical and problem-solving abilities.
  • ·        Familiarity with programming for data analysis.
  • ·        Experience in academic environments is strongly preferred.
  • Consistently exhibits strong critical thinking and problem-solving skills to manage complex information, assess problems, and develop effective solutions. Strong skills in analyzing, researching, and synthesizing large amounts of data for preparing sound and relevant proposals/analyses.

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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