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The VP, Engineering will l ead scaling the global data and software engineering team s in managing the foundational enterprise data platform and creat ing tools and frameworks that enhance data collection and processing, analytics and artificial intelligence , data dissemination , and governance.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Implement and manage compliance measures, including maintaining and updating records of processing activities, data mapping, and conducting vendor management reviews. Firm Type: Law Firm, Experience: 5 Years, A law firm in Boston, MA, is seeking a highly skilled Data Privacy Attorney to join their team.
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We are seeking a highly motivated and capable Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
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We are looking for a skilled and experienced Data Engineer to join the technology team, focusing on data governance and data quality initiatives. A minimum of 3-5 years of experience as a data engineer or in a similar role (SQL, Python, etc.
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Expertise in using Databricks platform on AWS for data processing and analytics. Leverage Databricks platform on AWS to build and manage data processing workflows and analytics, while adhering to development lifecycle standards.
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Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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While not mandatory, our ideal candidate would also bring meaningful Machine Learning experience, ideally in similar image, video, and/or radar data processing applications. We are seeking an experienced, hands-on Principal Engineer with a strong background in Digital Signal Processing applied to complex spatial computing, image and video processing, and visualization applications.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong knowledge of statistical software packages; previous experience in data mining, demonstrated experience / expertise in problem solving Extensive understanding of relational databases and ability to effectively utilize statistical software – SAS, Stata, R and Python.
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
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Develop and optimize digital signal processing (DSP) algorithms for FPGA implementation. Strong understanding of digital signal processing (DSP) and RF systems. Bachelor’s or Master’s degree (preferred) in Electrical Engineering, Computer Engineering, or a related field with a focus on signal processing.
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In-depth knowledge and experience working with common regulatory framework applications related to data security, including HIPAA, HITRUST, - General Data Protection Regulation (GDPR), National Institute of Standards & Technology (NIST) standards, Payment Card Industry Data Security Standard (PCI), and similar constructs are highly desired.
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Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making.
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data processing jobs Title: data engineer sr in Boston, Pelham, New Hampshire
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