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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts.
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Adoption ReimbursementDisability Benefits (short term and long term)Life and Accidental Death InsuranceSupplemental benefit programs: critical illness/accident hospital indemnity/group legalEmployee Assistance Programs (EAP)Extensive employee wellness programsEmployee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phoneA career with us, a global leader in communications and technology, comes with big rewards.
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Evaluate the efficacy of potential target candidates through the application of state-of-the-art computational approaches; working closely with experimental, biology, computational genetics, data science, quantitative statistics, engineering, translational medicine, and biomarker teams.
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This role involves working on a range of projects including batch pipelines, data modeling, and Master Data solutions to implement robust data collection and processing pipelines to meet specific business needs.
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Participates as an active member of cross functional clinical study teams, program level teams, submission teams and provide expert guidance on CDM, CDISC and data quality. ·Ensure the activities described in the Data Management Plan (DMP) are executed in accordance with the DMP, including data acquisition, data transfer, data reconciliation and review, medical coding, data extract and rolling data freeze, data lock and database lock.
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Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Your expertise will drive data initiatives that enhance business intelligence. Job Title: Senior Data Engineer (Remote - California) Design and develop scalable data pipelines using tools like Apache Spark and Kafka.
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Experience with automated liquid handling systems (e.g., Echo, Bravo, Biomek, Hamilton) and data analysis tools (e.g., TIBCO Spotfire, Excel, PowerPoint). BS/BA in Biochemistry, Biophysics, or a related field with 3-5 years of industry experience; or MS in the same fields with 2+ years of relevant experience, preferably in assay development and compound profiling in a drug discovery context.
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Keywords: Juniper, Ciena, Arista, Network Deployment, POP, data center, DCN. Provide onsite network support and expertise on local data center campus and remote support for POP sites while working with local vendor support staff.
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Experience in Provider Data Analytics, Provider Relations, Network Development, or Contract Review. Collaborate with various departments, including Network Development, Provider Relations, and Executive Leadership, to gather and analyze data, fulfill reporting requirements, and support strategic decision-making.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.
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Principal engineers in software development and data engineering to set technical direction, design high-level architecture, and transform Baseball Systems software and tooling to maintain cutting-edge technology and enhance Baseball Operations decision-making The ideal candidate possesses strong technical experience and understands baseball from a technology and development perspective.
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Three years experience with database, data warehouse, ETL, business intelligence, or software development. Demonstrable knowledge with the Talend Data Fabric tool, ESB, and MDM development tasks and processes, particularly creating ETL from Technical specifications and converting ETL from other third party ETL tools and frameworks.
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Implements the next generation of Cloud-based Master Data Management (MDM) platforms to provide enterprise-wide and cross-business views of data (optimized for cost and performance.
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big data jobs Title: business legal affairs in Boston, OK, Hawaii
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