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Requirements Masters degree in a relevant technical field Extensive practical experience with spaceborne, airborne, and/or UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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Maintain data integrity in compliance with GCP, relevant SOPs and regulatory requirements by reviewing data processes and filing documentation in the trial master file (TMF) Direct experience with different Data Management systems and technologies, Electronic Data Capture systems and CDISC data standards.
$173,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong knowledge in the data-driven predictive model development with application in the energy storage systems. Factorial Energy is seeking a Senior Battery Data Scientist to join our team in our Billerica location.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Strong background in using HR data and HRIS products desired and experience producing analytics containing sensitive information and high levels of accuracyExpert level in ExcelExperience with Business Intelligence tools, i.e. Tableau, Domo, etc.
$60,400 - $75,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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Job Description Senior Data ScientistLocation: Waltham, MAGet To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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Experience with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and data modeling techniques. Experience with Function apps (AWS Lambda or Azure Functions)Experience with modern python web applications/apis (Flask, Django)Familiarity with cloud services (AWS, Azure, Google Cloud) and their data-related offerings Proven ability to architect and manage scalable, high-availability database systems.
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Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing.
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Akkodis is seeking Data Modeler role in Waltham, MA (Hybrid) for a Contract position with a client located in Waltham, MA (Hybrid) A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field is required.
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Experience with ESG data and data models is a plus. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.
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Assist with provisioning of compute and data pipelines to deliver performant data products via the research and enterprise data ecosystem. 5+ years' experience as a Data Engineer.
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Work with various data science, ML, AI, imaging, bioinformatics, real-world evidence, and other research teams to build modern data-driven enterprise-ready solutions. The AI and Analytics Team is part of Novo Nordisk’s Data Science division, where we apply sophisticated algorithms and machine learning techniques to some of the hardest problems in the discovery and development of new healthcare solutions.
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When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation.
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Deep understanding of drug development, study conduct processes, GCP and regulations related clinical data management as well as ICH guidelines, FDA/EU regulations. Organize and direct the initial stage of the studies, review and sign off on various items such as eCRF, data validation, data review guidelines, and data management plans.
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Title: data in Bedford, MA
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