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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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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 data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). The ideal candidate will have strong analytical skills, extensive experience with data visualization tools such as Salesforce CRMA and Tableau, and a deep understanding of fundraising metrics and processes.
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About you 10 or more years experience in virtualization technologies including VMWare and Microsoft; Azure Virtual Desktop, Windows as a Service, cloud platforms such as Azure, AWS or Google; device and desktop management best practices.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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McLean Hospital is a comprehensive psychiatric hospital committed to providing easy access to superior quality, cost-effective mental health services in the Boston area, Massachusetts and beyond. Since 1811, McLean Hospital has been a world leader in the treatment of mental illness and chemical dependency, research into the cause of mental illness and the training of generations of mental health care providers.
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This includes data from genomics, proteomics, metabolomics, and other biological sources. + Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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The HRIS Analyst will be responsible for supporting our HRIS (Workday) to ensure data accuracy, system integrity, and optimal functionality. Conduct regular audits and assessments of HR data to ensure compliance with policies, regulations, and data security standards.
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Theposition requires a combination of research and operational experience in statistical programming and data analysis,psychometrics, and statistics, including proficiency in statisticalprogramming.
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Education: Graduate of an accredited School of Nursing, BSN preferred - Experience: No experience required, one year medical/psychiatric experience preferred - License: Currently licensed as a Registered Nurse in the Commonwealth of Massachusetts - All employees must possess basic computer skills to use a variety of electronic or online systems for communication, clinical and administrative purposes.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. Job Description The group seeks a summer intern to assist our engineering staff with advanced concept demonstrations in the areas of data analysis, algorithm development, software development, and digital signal processing.
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Familiarity with next-generation sequence data analysis tools● Basic understanding of molecular biology and next generation sequencing is highly preferred● Familiarity with single cell data analysis is preferred, but not required.
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Minimum of 10 years of experience in backend software development, with a strong focus on data engineering and big data technologies. Stay up-to-date with the latest trends, technologies, and industry best practices in the big data and data engineering domains.
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Relevant certifications (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator, VMware Certified Professional) are a plus. In-depth knowledge of AWS and Azure cloud platforms, including resource management and optimization.
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azure big data jobs in Hanscom Air Force Base, MA
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