Data Scientist, Next Generation Sequencing

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. 

Education Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. 

EXPERIENCE: 

Required: Three years of experience in Scientific software or industry development/analysis experience. With Master's degree, one year experience required. With PhD, no experience required.

Preferred: The ideal candidate will have formal training and experience in analysis of different NGS datasets (bulk RNA-seq, Chip-Seq, Ribo-Seq) and a wide range of single-cell sequencing profiling data. The candidate will have experience in the creation or use of genome assembly, transcriptional isoform annotation, gene modeling, RNA-seq based fusion detection and/or spliced alignments algorithms. Prior knowledge of cancer biology or immunology is a plus. Proficiency in scripting, statistical computing and use of high-performance computing environments is expected. Software development experience is desirable but not required. 

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