Postdoc Computational Cancer Biology and Bioinformatics

Job ID: 5496
Job date: 2017-02-18
End Date:

Company : University of Texas 

Country :

Role : Postdoc 


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Job Description:
We are seeking outstanding applicants for Postdoctoral positions in the Department of Bioinformatics and Computational Biology at the MD Anderson Cancer Center to develop computational methods and perform statistical analyses to interpret large-scale high-dimensional single-cell flow/mass cytometry data towards understanding the etiology and evolution of cancer.

Qualifications:

We are recruiting creative and enthusiastic recent PhD graduates, who are computational scientists with experience in automating biological analysis. Proficiency in programming languages such as R, Matlab, C and Python and experience in high performance computation, machine learning and high dimensional data analysis are required, as well as at least 2 first author publications in peer reviewed journals.


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Additional Info:
We offer a highly stimulating and collaborative environment, highly competitive salary ($65,000/year), and benefits. MD Anderson Cancer Center has topped U.S. News & World Report’s “America’s Best Hospitals” ranking seven times in the past nine years. A highly collaborative environment between the Departments of Systems Biology and the Department of Bioinformatics and Computational Biology has brought together medical professionals, software engineers, molecular biologists, and computational biologists to provide an environment where creative research is encouraged.

MD Anderson Cancer Center is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, gender, sexual orientation, age, religion, disability, or veteran status except where such distinction is required by law. All positions at The University of Texas MD Anderson Cancer Center are security sensitive and subject to examination of criminal history record information. MD Anderson Cancer Center Smoke-free and drug-free environment.

How to Apply

Email cover letter, CV and contact information of 3 references

Contact:

Ken Chen

kchen3@mdanderson.org

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