OVERVIEW

RESPONSIBILITIES

• Designs and assists in developing statistical methods and computational algorithms for analyzing large-scale datasets that are essential to the overall project success.
• Distills information into biologically relevant findings which are communicated to the team in writing and/or verbally.
• Analyzes experimental data and identifies methodological problems. Adjusts existing algorithms to ensure project completion in a timely fashion.
• Works directly with team leader to refine computational methods to ensure project completion in a timely fashion.
• Works closely with experimental scientists to analyze and iterate through experimental data and designs.
• Interacts directly with various scientists in the group to ensure project success.
• Attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals in a dynamic environment.
• Maintains a detailed plan to ensure successful and timely completion of required tasks.
• Consults with other senior scientists or scientific literature as needed.
• Other tasks as required.

REQUIREMENTS

• Bachelor's or Master's degree in computational biology, mathematics, bioinformatics, computer science, statistics, or related quantitative field required.
• Strong knowledge and interest in biology required.
• Excellent skills in at least one programming language required, preferably Java.
• Excellent background in statistics/biostatistics and data analysis required.
• Excellent working knowledge of the Unix operating system.
• Excellent communication skills and the ability to interact professionally with all levels of staff across different areas of expertise (both experimental and computational).
• Excellent organization and time management skills.
• Ability to handle a variety of tasks simultaneously required.
• Must be able to use sound judgment to handle a variety of tasks and to shift priorities simultaneously, as well as to effectively solve problems.
• Must possess a high level of initiative and the ability to work with little supervision.
• Experience working in R or Matlab a plus
• Prior experience working in biology-related sciences a strong plus
• Experience with high-throughput sequencing data analysis a plus

LOCALE

NOTES

HOW TO APPLY