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View salary and benefits informationIdentifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the o more...
The Biotech Research Scientist I conducts experiments, some moderately complex. Performs a variety of laboratory procedures using established synthetic methods and techniques under general guidance. Being a Biotech Research Scientist I requires a Ph.D. in area of specialty. Conducts and interprets routine spectroscopic data (i.e., NMR and IR). In addition, Biotech Research Scientist I typically reports to a supervisor or manager. Working as a Biotech Research Scientist I typically requires 0-2 years of related experience. Works on projects/matters of limited complexity in a support role. Work more...
Conducts research, and analyzes and experiments on the selection, breeding, feeding, management, and marketing of animals. Determines and evaluates their applications to scientific study. Requires a degree in animal science. May be expected to have an advanced degree in area of specialty with 0-2 years of experience. Has knowledge of commonly-used concepts, practices, and procedures within a particular field. Relies on instructions and pre-established guidelines to perform the functions of the job. Works under immediate supervision. Primary job functions do not typically require exercising ind more...
Identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the o more...
Identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the o more...
Identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the o more...
Identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Designs, develops, and implements the most valuable data-driven solutions for the o more...
Develops and executes the data science vision, strategy, and capacity to support organizational long-term, short-term, and mission-critical goals. Provides the organization with data insights, analytics, and tools to achieve business goals, foster innovation, and promote data-driven decision-making. Engages stakeholders and champions the design and development of data science initiatives. Researches and incorporates emerging technologies and methods to continuously improve analytic capabilities and enhance capacity to provide valuable results. Builds team capability with mentoring, coaching, a more...
The Life Sciences Research Scientist I conducts experiments, some moderately complex. Performs a variety of laboratory procedures using established synthetic methods and techniques under general guidance. Being a Life Sciences Research Scientist I requires a Ph.D. in area of specialty. Conducts and interprets routine spectroscopic data (i.e., NMR and IR). In addition, Life Sciences Research Scientist I typically reports to a supervisor or manager. Working as a Life Sciences Research Scientist I typically requires 0-2 years of related experience. Works on projects/matters of limited complexity more...
The Chief Data Scientist provides the organization with data insights, analytics, and tools to achieve business goals, foster innovation, and promote data-driven decision-making. Develops and executes the data science vision, strategy, and capacity to support organizational long-term, short-term, and mission-critical goals. Being a Chief Data Scientist research and incorporates emerging technologies and methods to continuously improve analytic capabilities and enhance capacity to provide valuable results. Engages stakeholders and champions the design and development of data science initiatives more...
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