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Performs well-defined data analysis assignments with general supervision
Selects computational techniques and statistical/visualization tools to solve biology problems
Documents programming codes with sufficient comments and generates formal reports on analytical results
Attends project group meetings and presents progress on assigned research project
Presents work at the end of internship

Proficient statistical programming skills in R/Bioconductor
Familiarity with a scripting language such as Python
Strong verbal communication skills a plus

Graduate students from Ph.D. programs (in fields such as computational biology, statistical genetics, or biostatistics)