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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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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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Research is supported by the National Heart, Lung, and Blood Institute, American Society of Nephrology and the BWH Khoury Innovation Fund. Under the supervision of the Principal Investigator and research staff, the Research Analyst Intern will conduct analyses with and develop pipelines for various types of omic data as well as clinical datasets from epidemiologic studies and clinical trials.
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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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Prior experience integrating Snowflake and Databricks Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions ( Eagle, State Street Alpha platform) Prior experience in data science/AI/BI tools.
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Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.) 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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Independently design and execute in vivo experiments, analyze data and interpret results and present data to relevant stakeholders: Knowledge of data analysis programs such as GraphPad PRISM, MicroSoft Excel Fit, FlowJo FACS analysis, Nanostring transcriptome analysis and Softmax Pro and/or other equivalent software.
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The Director, PK/PD/PMX will provide scientific leadership through analysis and interpretation of PK/PD and dosimetry data in support of preclinical, translational, and clinical studies and programs.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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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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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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Acquires and maintains a level of medical-scientific knowledge in endocrinology and/or rare disease involving clinical issues related to company’s products; able to interpret and disseminate pertinent scientific/clinical data and evaluates current and new information as it applies to company’s therapies.
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Professional Certification (Security+, Data+, Cyber Security Analyst+, or Systems Security Certified Practitioner) Center 3 (19075), United States of America, McLean, VirginiaPrincipal Associate, Cyber Security Data Scientist.
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Proficiency in SQL and experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Experience with data processing frameworks and tools (e.g., Apache Spark, Airflow.
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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required.
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data job Title: data analyst Company: Bmtech Group Llc in Boston, Schuyler, Nebraska
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