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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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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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Establish and execute on a strategic roadmap for biostatistics, statistical programming and data management for Dyne as we prepare for commercialization. Direct the development and validation of statistical programming code for the analysis and reporting of clinical trial data.
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Requirements Masters degree in a relevant technical field Extensive practical experience with spaceborne, airborne, and/or UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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Remote Data Modeling needs 3 years of relevant UAS, GIS, modeling, application design, or other quantitative industry experience. Experience transferring data from 3D modeling software or comparable relevant projects required.
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SiPhox, a Khosla Ventures, Intel Capital, and Y Combinator-backed startup, is commercializing next-generation diagnostics and label-free proteomics using Silicon Photonics, a platform technology for optics miniaturization that has revolutionized the data center industry over the last two decades.
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Key words: Fixed Income, Derivatives, FX, Compliance, OMS, buyside, data, middle-office, data architect) Function as the data technology and strategy subject matter expert by leading the data consulting workstream on implementation around Charles River Investment Management Solution (CRIMS) and Alpha.
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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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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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Maintain data integrity in compliance with GCP, relevant SOPs and regulatory requirements by reviewing data processes and filing documentation in the trial master file (TMF) Direct experience with different Data Management systems and technologies, Electronic Data Capture systems and CDISC data standards.
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Additionally, the IT Network Manager ensures system reliability, provides VoIP support, and strategizes the company's voice and data network development. Define strategy and roadmap for the company's voice and data network.
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Support engineering technical and technical management processes associated with version/configuration control, to include: a) Requirements definition and analysis; b) Architecture design, implementation, integration, verification, validation, transition, decision analysis, technical planning, technical assessment; c) Requirements management, risk management, configuration management, technical data management, and interface management.
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Prepare and assist with completing environmental survey reports, data entry, impact assessment, and permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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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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Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc. Deep knowledge of Python, SQL, database design, and master data strategies.
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