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Utilize programming languages like Python, Java, Scala, and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 2 years of experience in big data technologies.
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This data represents an enormous opportunity to guide drug development in a data-driven manner while advancing the science of precision medicine. Expand Pfizer leadership in oncology drug development and Pfizer contributions to advancing the science of precision cancer medicine by contributing to internal and external data readouts and presentations, as well as publications in top tier journals.
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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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10+ years of experience in data engineering, data science, and software engineering. The Federal Reserve Bank of San Francisco is looking for a Lead Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data solutions and advanced analytics products.
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Familiarity with Azure Data Lake Storage, Azure Databricks, and Azure Synapse Analytics for big data and analytics solutions. Experienced on system integration and data migration within Dynamics 365.
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Hands-on experience with at least one cloud platform (AWS or Google Cloud) and at least one modern big data product such as Databricks, Snowflake, and BigQuery. Experience working with Python, SQL, and modern data products to build and test data-intensive applications.
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Kafka, Spark, Flink) Data cataloging, discoverability, and life-cycle management Data science models, integrations or data pipeline development (DBT, Fivetran, AirByte) Partner with a wide range of cross-functional partners across engineering, data science, research, and product to design infrastructure to train, deploy, and serve AI/ML models at scale.
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Bachelors or an advanced degree in GIS, environmental science, geology, geomatics engineering, geotechnical engineering, or related field with demonstrated GIS training or coursework. Understanding of remote sensing general principles and applications (e.g., LiDAR) and experience using derived data products (e.g., las dataset, DEM, DSM.
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
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The Department of Radiology and Biomedical Imaging at UCSF is seeking a postdoctoral fellow interested in quantitative imaging and data science with application to breast cancer diagnosis and treatment.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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Introduced in 2023, MosaicML’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have been downloaded over 3 million times. Design and productionize state of the art tooling and open source technologies to enable the development of frontier foundation models for Databricks customers.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs)-Respiratory (COPD/Asthma) across the aligned geography.
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Knowledge of data science, machine learning, and artificial intelligence is required. Knowledge of data science, artificial intelligence, and/or machine learning is required.
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open source big data science jobs Company: Walmart in San Francisco, CA
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