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PhD in computer science, computer engineering, information systems, Medical Informatics, Bioinformatics, life sciences or related discipline with 8+ years' data science experience.
$201,025 - $260,150 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.
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Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning, data visualization and other quantitative methods.
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Experience developing data engineering and ML pipelines in Databricks. Write Python code in Databricks Notebook for data preprocessing, processing unstructured data/documents, feature extraction, API calls, and application orchestration.
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Where you're given opportunities to explore the power of digital and data. Assoc Director Science & Technology - Flow & Potency. Provide strategic recommendations across analytical network, spanning Cell Therapy, Gene Therapy and Biologics.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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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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Act as a best practice expert, blueprint creator of ways of working such as testing, logging, CI/CD, observability, release lifecycle, enabling rapid growth in data inventory and utilization of Data Science Platform.
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A BS or MS degree in a technical field, including Mechanical, Chemical Engineering, Data Science, Mathematics, Food Science, Physics, Computer Science, etc. Analytics & Data Science.
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A bachelor's or master's degree in computer science, data science, or a related field. MHA provides expertise in Group Purchasing, Managed Care and Payer Contracting, Reimbursement Management, Specialty Pharmacy Solutions, Pharmaceutical Data Analytics, Consultant Pharmacy Software and Legislative Advocacy.
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Proficiency in Microsoft Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake, etc. Understanding of data governance, data quality, and data integration techniques.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
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MLT: Associates degree in science and MLT(ASCP) certification or equivalent. MT/MLS: Bachelor's degree in science and MLS(ASCP) certification or equivalent. Discover the presence or absence of disease and provide data that help physicians determine the best treatment for the patient.
$52,000 - $90,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store. To thrive in this role, you should have ten-plus years of experience in architecture, design, and building a scalable target state architecture for data processing-based on document content including PII/CII handling, policy-based hierarchy rules and Metadata tagging.
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Qualifications Required Skills: Bachelors degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis Masters/MBA or PhD is preferred.
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data science jobs Title: consultant Company: Sirius Computer Solutions in Parsippany, NJ
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