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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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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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Now, our Business Intelligence team is looking for a Salesforce Dashboard Author who will transform complex data into meaningful visualizations and reports that effectively communicate insights and trends to Boston University's Development & Alumni Relations (DAR) leadership and its stakeholders.
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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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With over 15 years of data center construction experience under their belt already, the client is looking to bolster their QA QC team in Mississippi, where they have one of their largest daata center projects breaking ground at the end of the month.
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No Search Firms:ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Ensure and measure ongoing scheduled and non-scheduled inspections, audits, reviews, observation & testing, investigations, hazard analysis, safety leadership exchanges and other safety-related tasks working alongside the Deputy Director of Commuter Rail Safety Data and support the Director of Commuter Rail & Ferry Safety.
$153,080 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Design and develop enterprise data / data architecture solutions using AWS Glue, Lambda and other data technologies like Spark, Scala, Java, Python, SQL etc. Design and Develop big data solutions using Spark, Scala, AWS Glue etc.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Notice to Agency and Search Firm Representatives: Catalent Pharma Solutions (Catalent) is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Catalent employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Catalent.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Demonstrated experience with a variety of relational database and data warehousing technology such as AWS Redshift, RDS, BigQuery, Databricks.
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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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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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Oversee the development of study-specific CDM documentation such as eCRF specifications, eCRF completion guidelines, edit check specifications, and data management plans identifying and mitigating risks to data quality and proper inclusion into the Trial Master File (eTMF.
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