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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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Familiarity with Databricks for big data processing and advanced analytics. Utilize Databricks for big data processing and advanced analytics. Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Strong knowledge of big data technologies (e.g., Apache Spark, Hadoop). Technical Leadership: Provide technical guidance and mentoring to the data engineering team, ensuring that DataBricks solutions are implemented efficiently and effectively.
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Develop Master Data Management (MDM) solutions: Implement solutions across various master data domains within MassMutual, ensuring data consistency and reliability. You will design, build, and measure complex Informatica Power Center and MDM processes to master data for different Master Data domains in MassMutual.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) 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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Ph. D. in computer science, data science, computational biology, systems biology/immunology, bioinformatics, or other related fields. Atomic Lab ( at the National Emerging Infectious DiseasesLaboratories, Boston seeks a Postdoctoral Fellow with a background in AI, data science and bioinformatics.
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Strong collaboration skills to drive complex analyses integrating metabolomics data with bioassay results. Develop, improve, and deploy informatics pipelines to analyze and compare mass spectrometry-based metabolomics data.
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This is a postdoctoral position developing statistical methods for finding patterns in complex biomedical data, working with Jeff Miller in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health.
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One Medical is seeking a highly skilled Sr. Manager of Medical Economics to join our Medicare Population Health Programs (MPHP) team to lead the team’s overall Value-based Care data, analytics and evaluation strategy.
$219,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This breakthrough allows for unprecedented data collection and scalability in cell biology research, drug development, and pharmaceutical manufacturing. This breakthrough allows for unprecedented data collection and scalability in cell biology research, drug development, and pharmaceutical manufacturing.
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Reporting to the Director of Portfolio Management, the Project Data and Reporting Analyst will play a crucial role in managing and reporting Enterprise PMO (EPMO) data for large-scale technology projects.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Experience in environmental science, vector generation, molecular biology, nanotechnology, mass spectrometric data reduction, microbiome investigations/interactions, biosecurity, or infectious diseases, including AI driven outbreak detection systems is highly preferred.
$170,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data skills (Hadoop, Apache stack), Cloud native DB (Databricks, Snowflake), and visualization tools (Tableau/PowerBI) is a plus. Experience in any of the following is a plus: ETL/ELT, data warehouse design, DB design/data modeling, web services (REST API), MQ, streaming data processing, and microservices.
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big data jobs Company: Saviance in Boston, Sulphur, Louisiana
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