BACKGROUND

RESPONSIBILITIES

• Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of high-dimensionality datasets centered on high-throughput metagenomic sequence data.
• Explore novel data representation modes with an emphasis on integrating diverse data types.
• Develop and deploy algorithms for the reconstruction of microbial metabolic pathways and the identification of enzymatic activities relevant to biotransformation and/or bioremediation.
• Conceive, implement and test statistical models; work with wet-lab researchers to translate these models into testable experiments; analyze data from experiments.

REQUIREMENTS

• Relevant backgrounds include formal training or notable experience in a quantitative discipline, such as bioinformatics, chemoinformatics, computer science, physics, or in biology with a strong quantitative background.

• Demonstrated proficiency in UNIX/Linux command-line use
• Demonstrated competency in UNIX shell scripting and Perl programming (or a comparable programming language)
• Previous experience in managing large-scale data sets, e.g., delivered by current high-throughput sequencing technologies
• Knowledge, background, or experience in biochemistry concepts and current methods
• Ability to work effectively and diplomatically with a wide range of people in a fast-paced team environment
• Demonstrated ability to communicate effectively, both orally and in writing
• Ability to quickly learn and interpret biological and technical information
• Ability to work independently and follow through on assignments with minimal direction
• Ability to be resourceful when faced with obstacles and to show initiative in identifying resources and methods for resolving issues

TERMS

LOCALE

HOW TO APPLY

DEADLINE