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The Novo Nordisk Real World Evidence (RWE) / Clinical Data Science & Evidence (CDSE) - Fellow is responsible for supporting planning and execution of observational research / Real World Evidence studies to support the Evidence and Insights Generation Plans (EIGPs) for specific areas of the Novo Nordisk portfolio.
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Knowledge of one or more of the following technologies: Data Science, Machine Learning, Natural Language Processing, Business Intelligence, and Data Visualization. Minimum of 3 years of experience in an analytics/data science environment.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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A bachelor’s degree with a strong academic record in economics, mathematics, statistics, biostatistics, public health, public administration, public policy, sociology, political science, or a related field.
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We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other quantitative backgrounds who are enthusiastic about bringing their expertise to addressing fundamental problems in biology and medicine using cutting-edge technologies.
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Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces. Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks.
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Provide analytical and financial analysis support to the Budget Director and Chief Financial Officer, including responding to ad hoc data calls from DOE. With an eye on the future and in response to national priorities, PPPL also has begun a strategic shift from a singular focus on fusion energy to a multi-focus approach that includes microelectronics, quantum information science, and sustainability science.
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The Medical Science Liaison (MSL) is a credible partner responsible for providing clinical, scientific and health economic information related to disease states and the appropriate utilization of approved Otsuka products within an ecosystem.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Through a highly effective Investment Process, they provide solutions across all product platforms and asset classes - equity, fixed income and alternative investments including structured products and specialty assets - through a comprehensive due diligence and oversight process for client portfolios.
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Hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
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Hands-on experience developing DataOps and ETL solutions using AWS data services (e.g., Redshift, RDS, Athena, Lake Formation), Cloudera Data Platform, and Tableau Labs. Ensure accessibility of data products with appropriate security controls across all computational platforms (e.g., Domino, R-Shiny, Tableau, and SuperPOD), fostering a secure and interconnected ecosystem.
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Bachelor's degree or equivalent experience in Computational Linguistics, Computer Science, Quantitative Finance, or a related Technical field or background. A Senior Data Management Professional is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations.
$110,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Perform Root Cause Analysis on master data issues and drive continuous improvement on processes and systems. Your key responsibilitiesMaintain master data appropriately ensuring accuracy, consistency and reliability in SAP and other dependent systems.
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Familiarity with emerging Analytics / Data Science capabilities and their application to healthcare / life sciences. Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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Lighting design experience in the following market sectors: Healthcare, Science and Technology, Federal, Entertainment, Corporate Commercial, and Civic. Work with project teams on all aspects of the art, science and business of architectural lighting design.
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data science jobs Title: systems in Princeton Junction, NJ
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