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Reporting to the Principal Scientist, the successful candidate will bring in-depth knowledge and hands-on experience in the development, optimization, and characterization of lentiviral vectors, with a specific emphasis on supporting BLA filings, to join our innovative Analytical Development team.
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We are looking for an experienced Immunology Scientist to join an exciting and rapidly growing immunology/immuno-oncology startup company in Philadelphia, PA! Work collaboratively with team members to ensure the efficient relay of information and forward translation of data.
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Specific Responsibilities:Champion Data Privacy Awareness and Change enablement of Data Governance framework including as it pertains to Data Catalog, Data Quality, GSK Tech Controls, ITIL Service Management and ITIL Asset Management.
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The Medical Laboratory Scientist is responsible for obtaining or receiving specimens, performing clinical laboratory tests by standardized procedures, understanding method principles, performing quality control, performing preventive maintenance, and interpreting results accurately, acceptably and within critical limits.
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Other duties might include: performing data management functions like extracting, importing, and exporting data from various in-house applications; restructuring and merging datasets; assisting with user documentation; running queries on datasets using SQL; preparing datasets for analyses; resolving data inconsistencies; and taking responsibility for completeness and quality of multiple data sets.
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The SCADA/MES Data Engineer is responsible for leading our IT-OT integration efforts, driving digital transformation, and supporting operations management. Strong understanding of data skills and tools, including cloud services such as Azure IoT Hub, Azure Data Factory, databases such as MSSQL, MySQL, SQLite, and BI tools such as Excel, Power BI, Tableau, and Knime.
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Experience working with Market data vendors such as Platts, Argus, Refinitiv(LSEG), Bloomberg as well as exchanges ICE, CME etc. Our teams include technology, digital transformation and data, operations, human resources, business services, corporate strategy and solutions and the Macquarie Group Foundation.
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Degree in engineering or construction management as well as 2 years of on-site Data Center construction scheduling experience is required. Develop and maintain project schedules identifying relationships, logic, milestones and constraints for Data Center construction projects through interactive planning with the project team.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success.
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Overview TRC is seeking a highly motivated Entry Level or Jr. Engineer/Environmental Scientist/Geologist to join our growing ECR, Engineering, Construction and Remediation team in our Center City Philadelphia office.
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What you offer 5 years plus of relevant financial services experience, preferable in Energy marketsExperience working with Market data vendors such as Platts, Argus, Refinitiv(LSEG), Bloomberg as well as exchanges ICE, CME etc.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis. Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Title: data scientist Company: Lexisnexis Risk Solutions Group in Philadelphia, PA
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