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This position will be perform duties related to a study that aims to generate data to address inequities in access to and quality of hospice care at end-of-life among Black/African American, Latino/x/Hispanic, Latinx, Asian, Hawaiian Native, Pacific Islander American, or multiracial older adults with dementia, and thus, candidates who identify as Black/African American/ multiracial/ Latino/Hispanic OR are fluent in Chinese / Mandarin/ Cantonese/Spanish are preferred.
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Designing, optimizing, and improving our central data sync engine, solving challenging rate-limiting, batching, and data processing problems. [Full Time] Data Engineer at Livedocs (United States) | BEAMSTART Jobs Data Engineer Livedocs United States.
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Develops reports, technical summaries, and data summaries to assist with water quality studies, treatment system design review, and permitting. Works as water quality lead with Engineering to develop priorities, schedule, and justifications for General Rate Case.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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At Candid Health, we’re searching for our first Data Engineer to design, build, and support our next generation of data infrastructure. As the first Data Engineer at Candid Health, you will report to the Head of Engineering and will help to build out a world-class Data Team.
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The trials also involve real world evidence generation, patient reported outcomes (PROs) and analysis of complex big data sets. Master’s degree in Data Science, Mathematics, Statistics, Biostatistics, Bioinformatics, Biological Sciences, or related discipline.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
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Position Role/Tile: Bioinformatics Data Scientist / Engineer / QA. This is a dynamic career opportunity to join as a Bioinformatics, Data Scientist Team member to support our qPCR Algorithm Development Group.
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Conceptualize and own robust and reliable data products (dataset, metadata, models, and visualizations) to advance the efficiency and effectiveness of our platform, including measuring data quality to modeling antibody function to automating variant design strategies.
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Experience using data protection solutions, such as Forcepoint, Symantec, McAfee, Microsoft Purview, or CrowdStrike. Your IT Recruiter is helping an on-demand, autonomous ride-hailing company hire an experienced Data Loss Prevention Analyst to provide technical support for deploying, configuring, and optimizing the company's DLP security platforms.
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For example, you will onboard new datasets from MongoDB/RDS/Kafka to Snowflake and Databricks, conduct impact analysis based on data lineage, and refactor data model for quality, reusability, performance and cost efficiency.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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Bioinformatics and data management skills- ensures data quality, maintains data integrity. In Vivo Kit Preparation: labeling tubes, sending emails, sample organization in Benchling and Softmouse, vivarium pickups, data pushes, and scanning samples.
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data quality jobs Title: operations lead Company: Cybercoders in South San Francisco, CA
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