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The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production.
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Experience in data visualization tools (SQL, Python, R) and BI visualization tools (Tableau, Power BI, QlikView, etc.) Bachelor’s degree in Business, Computer Science, Data Science, or related field required; Master's degree is a plus.
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This individual will report to the Executive Director in R&D. This position will play a pivotal role in shaping our in vivo CAR-T cell therapy program. Independently design and execute experiments, document, and interpret scientific results, present the data to cross-functional teams.
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3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam. 10+ years of experience with Big Data cloud services in AWS, GCP, and/or Azure. Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala.
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6+ years of proficiency in programming languages and leading teams doing development in Java, Python for microservices with REST API, Secure Web Sockets/gRPC; Modern Browser technologies and languages such as React, Angular, Redux, RXJS, Typescript, Bootstrap; DevOps technologies such as Jenkins, Maven, NPM and relevant frameworks and libraries.
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Experience developing and sustaining data load jobs using Extract, Transform, Load (ETL/ELT)methodologies and tools such as, Python, SQL, Shell Scripts and AWS Services. Developing and sustaining a data ingestion pipeline to AWS leveraging services such as Athena, Glue, Lambda, S3, Relational Database Service (RDS) and Redshift.
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BIG NIL Inc provides officially licensed print-on-demand apparel and merchandise products for student-athlete and school brands under the NIL. Through NIL policies, student-athletes may monetize their personal brand and endorsements while participating in sports.
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Responsible for facilitating the continual enhancement of integrity, completeness, and timeliness of US innovation financial data to enable "one source of truth" for reporting and analytics. Innovation and Financial Operations Associate Manager will be responsible for supporting financial analytics, reporting, and process improvement for the US Innovation team by ensuring data integrity, conducting financial analyses to inform strategic recommendations, managing operational activities, and owning specific process improvement initiatives.
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You have good programming skills (R, Java, Python, etc) and are experienced in using relational databases as well as cloud services for storage and computing (AWS-S3, etc.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The HORIBA Group of worldwide companies provides an extensive array of instruments and systems for applications ranging from automotive R&D, process and environmental monitoring, in-vitro medical diagnostics, semiconductor manufacturing, and metrology, to a broad range of scientific R&D and QC measurements.
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High level expertise in use of statistical software such as SAS, Stata, R, Python or similar data analytic software. Experience conducting longitudinal analysis with “big data” datasets such as insurance claims and other administrative records.
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Develop relationships cross functionally with Data Science, Precision Medicine, Digital Health & Data, and Platform & Partnership teams to drive continuous strategies. Managing a small team of programmers conducting statistical analysis using SAS, R, Python or database programming (SQL.
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Kelly Science is seeking a 2nd Shift QC Chemist to join a growing company located near North Brunswick, NJ. Preferred qualifications include: prior CLIA/CAP experience, experience with ICP-MS or any other Mass Spectrometry, and experience with laser ablation.
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Implement robust data analysis models and algorithms using Python and R. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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