Data Scientist (Mammalian Systems)
The Data Scientist is a key role within Intrexon’s Data Science & Computational Biology Unit. This position is responsible for modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, the candidate will also be proficient at integrating and preparing varied datasets, helping architect specialized databases, and computing environments, and communicating results. Working closely with scientific and IT partners throughout the organization, the Data Scientist will turn data into critical information and knowledge that can be used to make sound organizational decisions. The Data Scientist must be a creative and influential thinker that can propose innovative ways to look at problems across the analytics maturity spectrum from descriptive to diagnostic, predictive, and prescriptive. The successful candidate will create and use statistical tools to enable data analysis and pattern recognition, supporting and developing Design/Build/Test/Learn protocols associated with complex mammalian biology experiments required for human drug development programs. The role will require a combination of business focus, strong analytical and problem solving skills, deep understanding of mammalian molecular and cellular biology and workable understanding of developmental and physiological functions; and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project. Familiarity with molecular biology and microbial physiology concepts is desired.
Job Type:Full Time
Education:PhD (1+ years’ experience), MS (3+ years’ experience) or BS (5+ years’ experience) in physics, mathematics, statistics, genetics, engineering, bioinformatics, computer science or a related field
Experience:Experience in establishing a bioinformatics pipeline for target and/or drug discovery, statistical data analysis, and design of experiment approaches