Institute Research Scientist – Computational Biology / Data Engineering

Education

Required: Master'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.

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.

Preferred Candidate will possess the following:

1.    MD or PhD with >3 years of relevant post-degree experience in a pharmaceutical/biotech environment.
2.    Extensive experience with code management (GitLab or GitHub), and computational notebook (Jupyter Notebook, etc), solutions. 
3.    Evidence of successfully contributing or leading software development projects in a professional environment. 
4.    Familiar with FAIR guiding principles and their application to data science projects.
5.    Evidence of proficiency in programing languages (Python, R, JavaScript), scripting languages (Bash), high-performance computing, and database management systems.
6.    Experience with cloud computing, container images, reproducible workflows, and interactive visualization.
7.    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.
8.    Evidence of ability to develop statistical algorithms, or the comprehensive assessment of algorithms, for the analysis of large multidimensional datasets, successfully manipulating large volume datasets, and experience with high performance computing are essential.
9.    Knowledge and experience in areas of genomics, next-gen sequencing analytics (alignment tools, mutational variant callers, ChIP-seq, etc), pathway analysis, and network analysis.
10.    Outstanding organizational skills and the ability to effectively present results and conclusions to co-workers, collaborators and manager.

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