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Information Technology
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Genomic Med Rsch Department 710562
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168825 Requisition #
Thanks for your interest in the Data Scientist Genomic Medicine 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.

Preferred: Master's or Ph.D. degree in computer science, quantitative science, bioinformatics, biostatistics, or a 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:

* Experience with best practices in single-cell analysis, including multimodal data integration (scTCR/BCR sequencing, and spatial transcriptomics). 

* Demonstrated ability to develop, optimize, and maintain bioinformatics pipelines.

* Proficiency in at least one programming language such as R or Python (experience with Perl and/or C/C++ is a plus).

* Expertise with modern workflow languages, such as Nextflow, WDL, and CWL.

* Experience with containerization technologies, including Docker, Docker Swarm, and Kubernetes.

* Experience with version control systems (Git, and GitHub) and Linux administration.

* Familiarity with FAIR (Findable, Accessible, Interoperable, and Reusable) principles for data and tool development.

* Knowledge of high-performance computing environments are a plus.

 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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