BACKGROUND

RESPONSIBILITIES

• Implements statistical methods and computational algorithms for analyzing large-scale datasets that are essential to the overall project success.
• Analyzes diverse data types to extract biologically relevant findings
• Distills information into biologically relevant findings which are communicated to the team in writing and/or verbally.
• Writes and oversees the development of analytical pipelines to standardize the analysis needs of the overall project.
• Analyzes experimental data and identifies methodological problems. Adjusts existing algorithms to ensure project completion in a timely fashion.
• Works directly with team leader and other lab members to refine computational methods and ensure project completion in a timely fashion.
• Works closely with experimental scientists to analyze and iterate through experimental data and designs.
• 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.
• Will help other technical staff, graduate students, and post-doctoral fellows in data analysis and computational methods as needed.
• Consults with other senior scientists or scientific literature as needed.
• Other tasks as required.

REQUIREMENTS

• Bachelor's degree in computational biology, mathematics, bioinformatics, computer science, statistics, or related quantitative field required at time of hire.
• Strong knowledge and interest in biology and/or biomedical research required.
• Proficiency in at least one programming language required.
• Experience with statistics/biostatistics and data analysis required.
• 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).
• Must be organized and manage your own time well.
• 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.

PREFERENCES

• Experience in an object oriented programming language (ie Java, Python) a plus.
• Experience working in analytical software packages (ie R, Matlab) a plus
• Prior experience working in biology or biomedical-related sciences a strong plus
• Familiarity with high-throughput sequencing data a plus

TERMS

HOW TO APPLY

DEADLINE

POLICY