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Information Technology
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Genomic Med Rsch Department 710562
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138900 Requisition #
Thanks for your interest in the Computational Scientist position. Unfortunately this position has been closed but you can search our 525 open jobs by clicking here.

Education

Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics or related field.

Education preferred: Master's degree or PhD with a concentration in Science, Engineering or related field.

Experience

Required: Five years experience in scientific software development/analysis. With preferred degree three years experience required.

Preferred:

One year experience in scientific software implementation and development/analysis in the microbiome field is preferred.

Successful applicants should have strong expertise in bioinformatics, biostatistics, and data visualization tools as well as vast knowledge on next-generation sequencing methods and the use of large and sparse datasets related to microbiome research.  Bioinformatic programming languages and skills (R, Perl, Python, etc.) and knowledge on commonly used bioinformatic, statistical, and data visualization tools in the microbiome space such as QIIME, MetaPhlAn, HUMAnN, LEfSe or others alike is required. In addition, excellent written and verbal communication; effective judgment and problem solving, ability to work independently and collaboratively, and a research background in immunology and cancer, and have an interest in translational research. Strong attention to detail, multi- tasking; and a willingness to learn new technologies is encouraged.

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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