The Xia laboratory within the Department of Pharmacology and Experimental Therapeutics is seeking a data analyst. The successful candidate will be part of a multidisciplinary team working on Alzheimer's disease and related neurologic diseases.
Programming using SAS, SQL, Stata MP and R to analyze clinical data related to Alzheimer's disease
Analyzing and mining sequence data generated internally or through public databases
Core techniques will include the careful annotation and deposition of data, utilizing computational pipelines for next generation sequencing data analysis, interpreting data within the context of each disease, and data visualization techniques
B.S. or M.S. degree in Statistics, Bioinformatics, Computational Biology, or similar disciplines.
Knowledge of computational biology tools and techniques
Proficient in programming using SAS, SQL, Stata MP, and R
Experience in working with biological data with some familiarity with next-generation
sequence data analysis tools; Prior experience with statistical methods, pipelines and tools relevant to RNA-seq, single-cell RNA-seq, chip-seq data analysis is preferred.
Experience with UNIX-based systems and command-line interfaces
Maintenance of detailed documentation either through a laboratory notebook or well annotated scripts
Excellent verbal and written communication skills, and the ability to explain technical/mathematical reasoning to people from non-quantitative backgrounds
Highly motivated and collaborative team player
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.
Internal Number: 3233
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