RESPONSIBILITIES

• Aid in developing, writing, testing, and implementing scientific programs to simulate and/or analyze genetic and expression data. Including Network modeling and sequence annotation.
• Support and conduct statistical analyses for epidemiologists and geneticists, including data manipulation required prior to implementing statistical software.
• Perform quality control evaluations for expression, CNV and genetic data.
• Assist in defining and analyzing experiments for research.
• Study and modify existing programs to solve specific problems.
• Develop new programs from specifications.
• Prepare documentation of completed analyses and present to team lead.
• Must be able to handle multiple long term projects simultaneously and be able to budget time effectively.

REQUIREMENTS

• Masters in Statistics. Computer Science, Mathematics or a Physical science preferred, with strong background in applied data analysis.
• Must have at least 2 years of programming in R or SAS; Experience in a scripting language such as Perl or Python.

• Comfortable in both a PC and Linux computing environment
• Proficiency in R statistics package
• Excellent communication and documentation skills
• Strong initiative and demonstrated ability to take ownership of challenging problems

PREFERENCES

• Experience in analysis of microarray data and Bioconductor program a strong plus.

HOW TO APPLY