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Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL. Master Data Management: Informatica MDM. Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc.
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Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift *Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others.
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Serve as database administrator for tasks including the upload and editing of high volume data and maintain and develop data integrity logs. Oversee collaboration with Mass General Development and MGB Enterprise Development teams to design and implement automation processes for data file development, data import, and reporting needs related to integration of fundraising database with marketing and patient systems of record.
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Bachelor’s Degree in Life sciences, including a min of 8 years in CDM, leading critical oncology or immunology projects from startup to database lock, adept at handling data for regulatory submissions, and proficient in Veeva EDC system management with a solid scientific educational background.
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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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Previous experience with grant writing, IRB submissions, data management, and database development, preferred. Experience using quantitative data analysis software helpful (e.g., SPSS, SAS, Minitab.
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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. This role requires strong technical expertise in data engineering principles, database management, and programming skills.
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Data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting. Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Maintains a continuous current database of State and City of Boston School Bus Driver Training and Annual Re-certifications, ensuring that Drivers are scheduled for and notified of their training requirements in accordance with the drivers’ Collective Bargaining Agreement and State/City mandates.
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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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Experience with Function apps (AWS Lambda or Azure Functions)Experience with modern python web applications/apis (Flask, Django)Familiarity with cloud services (AWS, Azure, Google Cloud) and their data-related offerings Proven ability to architect and manage scalable, high-availability database systems.
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Our research team is based at the Broad Institute of MIT and Harvard, with members in the Data Sciences Platform, Program in Medical and Population Genetics, and Stanley Center for Psychiatric Research, and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School.
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Experience providing scientific support for the development and implementation of cell therapy studies, including protocol and ICF development, electronic data capture database development, safety assessment, IB/DSUR submissions, and clinical data review.
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data database jobs in Cambridge, MA
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