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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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Experience with analyzing and interpreting preclinical and clinical biomarker datasets and mining publicly available data. The successful candidate will be responsible for analyzing early-stage biomarker and multi-omics data, mining publicly available data sources, and designing experiments to validate model predictions.
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Experience with business and technical requirements analysis, business process modeling/mapping, and data mapping. Data Engineer, Integrations. This position focuses on technologies and processes tying our application portfolio together, ensuring data is shared effectively and efficiently across our business systems, both on premise and in the cloud.
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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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Advise the Information System Owner (ISO), Information Data Owner (IDO), Program Security Officer (PSO), and the Delegated and/or Authorizing Official (DAO/AO) on any assessment and authorization issues.
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The Ethics & Compliance Manager Position reports directly to the Ethics and Compliance Director, who reports to the VP of Enterprise Risk Management & Compliance (including Data Privacy and Protection.
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Reporting to the Chief Medical Officer, the Vice President, Pharmacovigilance will be responsible for providing medical oversight for the global drug safety and pharmacovigilance function to ensure proactive and timely benefit-risk assessments of all safety data, related to our portfolio of autoimmune disease and drug-device combination therapies.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Experience and familiarity with relational databases and ability to support/troubleshoot data backup, verification and validation activities for server-based tools and solutions (Oracle, SQL Server, InfluxDB, PostgreSQL, MySQL.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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In this role you will work closely with our established BA/ADME teams in Boston (US) and Cambridge (UK) to analyze and summarize data which will be presented in a multidisciplinary team environment.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Experience with authoring protocols, study start-up, study conduct, data interpretation and the preparation of regulatory documents. Participate in the development of electronic clinical data case report forms, author medical data review plan, review data integrity and trend, and contribute to study monitoring and data analysis.
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IT-infrastructure, data security and project management tools (AWS, Dynatrace, CyberArk, Azure DevOps, Confluence, Jira, etc.) IT-infrastructure, data security and project management tools (AWS, Dynatrace, CyberArk, Azure DevOps, Confluence, Jira, etc.
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Strong background in using HR data and HRIS products desired and experience producing analytics containing sensitive information and high levels of accuracyExpert level in ExcelExperience with Business Intelligence tools, i.e. Tableau, Domo, etc.
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big data jobs Title: developer in Concord, MA
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