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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Additionally, the fellow will have significant opportunities to contribute to Sanofi's digital transformation by collaborating on projects with other CMC teams and global process modeling and data science teams.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. Job Description The group seeks a summer intern to assist our engineering staff with advanced concept demonstrations in the areas of data analysis, algorithm development, software development, and digital signal processing.
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client's facility.
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Proven experience with all phases of automation projects including conceptual, basis of design, implementation, testing, start-up and commissioning of Process Control System (PCS), SCADA, and DCS in the Life Science industry.
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Responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.
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Build and implement scalable solutions that align to our data governance standards and architectural road maps for data integrations, data storage, reporting, and analytic solutions.
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Strong understanding of scientific sampling methodologies and the state-of-science on a broad range of terrestrial, wildlife, soil, and water quality issues. Ph. D. in Water Resources, Environmental Science, Ecology, Environmental Engineering, or another related field.
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Established in 1946, with headquarters in Arlington, Virginia, AIR is a nonpartisan, not-for-profit institution that conducts behavioral and social science research and delivers technical assistance to solve some of the most urgent challenges in the U.S. and around the world.
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Serve as a leader within the QC group and as a knowledge resource (data review, electronic review, data integrity, GDP) within the company. QC Testing data review of products, raw materials, stability lots.
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The Principal Scientist, Bioinformatics Data Science, is a critical contributor to data analytics and engineering focused on accelerating our R&D programs and expanding our FORCE therapeutic delivery platform.
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Record and review GMP data, monitor and evaluate QC systems and equipment, recommend improvements to procedures, and revise GMP documentation as required. pH Meter, Karl Fischer Titrator, High temperature furnaces and oven, Fume hoods, Stirrer/hot plates, Propane burners, Compressed Gas Regulators and Cylinders, Infrared (IR), Gamma Ray Spectrometer, Flame Atomic Absorption (AA), Scanning Ultraviolet/Visible (UV/VIS) Spectrometer, Polarograph, Coulometer, High Pressure Liquid Chromatography (HPLC), and Gas Chromatography.
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MS or PhD degree in Computer Science, Electrical Engineering, Chemical Engineering, Applied Math, Applied Physics or related area. Strong knowledge in the data-driven predictive model development with application in the energy storage systems.
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One project area is to develop and use BioNet workflows to underpin systematic approaches in biosensor science. Hands-on knowledge of Synthetic Biology development tools, including laboratory procedures, experimental processes, analytical techniques, data processing methods, and design tools.
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data science governance jobs in Bedford, MA
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