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EDUCATION:
Required: Master's degree in biology, biochemistry, molecular biology, cell biology, enzymology, pharmacology, chemistry or related field.
EXPERIENCE:
Required: Six years' experience of relevant research experience in laboratory. With a PhD in a natural science or Medical degree, two years of required experience. With a Bachelor's, ten years of relevant research experience in laboratory.
Preferred:
Preferred Candidate will possess the following:
1.Solid foundation in both computer science concepts and molecular / cancer biology.
2.Evidence of proficiency in programing languages (Python, R), scripting languages (bash), high-performance computing, code version control, and computational notebook tools.
3.Experience with cloud computing, container images, reproducible workflows, and interactive visualization.
4.Experience with machine-learning and/or data mining algorithms (ie. Clustering, classification, etc.), and experience utilizing common parametric and non-parametric statistical tests (ie. T-test, ANOVA, Wilcoxon- signed-rank test, Fisher’s exact test, etc.) for data analysis.
5.Evidence of ability to develop statistical algorithms, or the comprehensive assessment of algorithms, for the analysis of large multidimensional datasets of successfully manipulating large volume datasets and experience with high performance computing are essential
6.Knowledge and experience in areas of genomics, next-gen sequencing analytics (alignment tools, mutational variant callers, ChIP-seq, etc), pathway analysis, and network analysis.
7.Outstanding organizational skills and the ability to effectively present results and conclusions to co-workers, collaborators, and managers.
8.Experience leading analysis projects with bench biologists, with examples where analytical methods enabled the validation of hypothesis.
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
