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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Manage and influence the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading and initial exploration in the process of searching and finding data patterns.
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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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CDS Visual is looking for a Data Engineer with experience in data transformations. Working with Architect and BA, analyze Product Data specifications provided in Spreadsheets and transform those into DB tables for consumption in various CDS platforms.
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The successful candidate will be responsible for generating and processing single-cell, spatial, and functional genomics data, as well as supporting standard immunoprofiling activities such as cell culture and flow cytometry.
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The role of Senior Data Science / Engineer is directly involved in the development and maintenance of the LIMS, pipeline, and assays - with the goal of producing high-quality, analyzable datasets - both reported to the clinical trial teams and used for additional research (bed-to-bench / back-translation) activities to answer our key scientific questions.
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Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.
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Description: Job/Position People Analytics Data Engineer & Enablement Hybrid, 5 days 1 month, the rest as per needed Location: Lexington, MA or virtual OBJECTIVES/PURPOSE (3-4 bullets) Reporting to the People Analytics BI & Innovation Lead, and as a key member of the Global HR People Analytics team, this individual will be responsible for enabling the democratization of data within the people analytics team.
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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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This position requires an innovative software engineer who is passionate about data & data quality. Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), CICD, basic software engineering, data engineering, etc.
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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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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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The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment.
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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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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeThe Senior Software Engineer will play a pivotal role in advancing the technological landscape of GSK, specifically focusing on the design, delivery, and ongoing support of state-of-the-art data driven applications.
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Hands on experience in SAP IBP time series and order-based planning data models. Correct any master data warnings and errors in supply planning and ATP confirmation runs. Knowledge of IBP Master data types such as Product, Location, Compound Master data – Location Product, Location Source, Production source Header and Item, Production Data Structures (PDS), Transportation lane.
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big data jobs Title: big data software engineer Company: Apex Systems in Lexington, MA
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