RESPONSIBILITIES

• Organizes analysis project plans, determining and executing computational methods
• Conceives, implements, and tests statistical models; works with wet-lab researchers to translate these models into testable experiments
• Analyzes data from experiments; presents data and experimental results to collaborating scientists
• Independently develops methods, organizing workflows, and coordinating other researchers toward rapid analysis prototypes
• Develops data-analysis strategies, writes algorithms, and deploys computational tools for the exploration of high-dimensional datasets
• Explores novel data representation modes with an emphasis on integrating diverse data types
• Serves as a primary point of contact between the Computational Chemical Biology Research Group and the TD/TS Platform
• Performs complex analysis and experiments to evaluate and troubleshoot new datasets
• Interacts with bench scientists to complete analyses and interpretations, prepares materials for reports and presentations, and presents results at review meetings and scientific conferences.
• Works independently and collaboratively toward successful publication of results
• Researches, assesses, and standardizes processes for analysis tools and software
• Proposes and implements upgrades to existing processes to enhance analysis result quality

REQUIREMENTS

• Ph.D. in mathematical, physical, or computer science or an advanced degree in chemistry or biology
• Bioinformatics Scientist I - 1-3 years of experience involving computational analysis and visualization
• Bioinformatics Scientist II - 4+ years of experience involving computational analysis and visualization.
• Ability to integrate different specialties (cheminformatics, high-throughput screening, gene expression arrays, systems biology) is paramount; prior experience with more than one of these is strongly preferred
• Ability to translate high-level data-processing and -analysis directions into concrete tasks and execute
• Experience with scientific computing software (MATLAB, R, etc.) required
• Experience implementing custom computational tools and software for bioinformatics or cheminformatics required
• Familiarity with domain-specific software tools (Pipeline Pilot, GeneData, GenePattern, etc.) strongly preferred
• Must possess strong organizational skills and an affinity for problem solving
• Excellent written and verbal communications skills, and the ability to work both independently and collaboratively are strongly preferred
• Must possess ability to manage multiple simultaneous long-term computational projects while meeting frequent project deadlines

LOCALE

HOW TO APPLY