Institute Research Investigator - Systems Biology

Required: Bachelor's degree in Biology, Biochemistry, molecular biology, cell biology, enzymology, pharmacology, chemistry or related field.  

Preferred: Ph.D. in Computer Science, Engineering, Applied Mathematics, Biostatistics or a related discipline from an accredited university. BS/MS in biological sciences from an accredited university

Experience

Required: Six years experience of relevant research experience in lab. With preferred degree, four years of required experience. 

Preferred: 

Strong foundation in both computer science concepts and molecular / cancer biology.  Proficient in PERL/Python, UNIX, and statistical computing platforms (R, Matlab, etc). Experience manipulating large volume datasets and experience with high performance computing are essential. Familiar with appropriate data normalization techniques and analysis of batch effects. Course work in biology (genetics, biochemistry, molecular and cell biology) with an experimental laboratory component. Previous hands-on experience working with computational and statistical tools for the analysis of biological datasets.  Specifically, the applicant should have 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. Development of statistical algorithms, or the comprehensive assessment of algorithms, for the analysis of multidimensional datasets. Extensive experience collaborating with bench biologists, with examples where analytical methods enabled the validation of hypothesis.

Experience with experimental design, project planning and working in the context of timelines and deliverables is preferred. Application of relevant expertise in the areas of cancer biology, cell biology, genomics and drug discovery biology to project goals will be valued.  The ability to plan, execute and interpret experimental data in a timely fashion is essential.  The ability to prioritize and manage multiple experiments in a timely and resource effective manner for enablement of science-based go/no-go decision making is essential. Training in an oncology research laboratory and experience with bench biology techniques.  Previous experience with next-gen sequencing analytics (alignment tools, mutational variant callers, ChIP-seq,etc). Experience with pathway analysis, network analysis, and transcriptional regulator networks.

The position requires a highly self-motivated individual, with outstanding organizational skills, the ability to effectively present results and conclusions to co-workers, collaborators and manager. Ability to multitask, work well under pressure and drive personal and team objectives that impact critical timelines is expected. 

A flexible, collaborative attitude is essential for this position.

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