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Deep expertise in data science, quantitative research, and statistical modeling, with proficiency in tools such as Python, R, SQL, and advanced data visualization platforms. Qualifications:Bachelor’s degree in Finance, Economics, Data Science, Computer Science, or a related field; Master’s degree or Ph. D. preferred.
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Stay updated with the latest advancements in Raman spectroscopy and material science. Detailed knowledge and application with electronic Quality Systems and Data Integrity. Bachelor’s or Master’s degree in Chemistry, Material Science, or a related field.
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Conduct detailed analysis of raw materials using Raman spectroscopy and other analytical techniques. Our client is seeking a highly skilled Raw Material Expert with extensive knowledge and hands-on experience in Raman spectroscopy.
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We are seeking a highly skilled Raw Material Expert with extensive knowledge and hands-on experience in Raman spectroscopy. Proven experience in using Raman spectroscopy for material analysis. Function as change agent to ensure accurate and timely facilitation of global and department, GMP, etc.
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Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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The IT Senior Manager, BI Data & Analytics must have a solid understanding of existing business processes, the key drivers, and measures of success for the business, including short-term needs and longer-term strategic initiatives.
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Assist in the analysis, evaluation, and interpretation of environmental data obtained during field investigations, offering input with developing action plans for low to mid-level threat mitigation and permitting activities projects to minimize impacts to the health of the environment and the population.
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As a Senior Data Engineer, you will provide expert guidance and mentorship to other Data Engineers on the team while actively participating in design and development of data pipelines that lead Business Intelligence, Data Science, and Machine Learning use cases throughout the organization.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Our client, Vaco Technology, is seeking the following. Computer proficiency in MS Word and Excel, MS Access required. Demonstrates process orientation-thinks through required steps and sequencing to ensure quality work output.
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Training within a regulated Pharmaceutical/biotech/medical device environment. The successful candidate will be responsible for the analysis and characterization of raw materials, ensuring their quality and suitability for production processes.
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Experience in Big Data technologies (e.g. Hadoop, Spark, Databricks, Snowflake) Experience in data engineering and cloud data processing services (Azure Cloud Platform) Azure Data Engineer certification (preferred.
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Ensure data quality within the platform, monitor data ingestion, and maintain a solid understanding of schemas, identity services, data lifecycle, query services, and future use of data science workspace, intelligent services, and use case playbooks.
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The Quality Engineer II, New Process Introduction (NPI) will support the business unit regarding engineering activities for all product lines; qualifications, validations, data analysis, statistical process control (SPC), CAPA, KPI’s, Review, and Trending.
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EDUCATION & EXPERIENCE: High school diploma and two years direct care experience or a Bachelors degree from an accredited college with at least twelve credit hours in a human services discipline to include but not limited to psychology, sociology, social work, education, pastoral counseling, political science, heath, recreation, criminal justice, counseling.
$20.52 an hourFull-timeExpandApply NowActive JobUpdated Today
data science jobs Company: Biosero in Malvern, PA
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