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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Collaborate with a team of supportive and passionate software engineers, product, infrastructure and other internal partners to tackle challenging problems, execute on development projects that build, enhance and customize our high-performance data ingest, partitioning, graph and edge building systems.
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Develop and support cloud-based big data pipelines Use analytics to understand product behavior and motivate data-driven decisions.
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The DEB is the epicenter of many of UCSF's initiatives in population health, data science and informatics, health service research, health equity, and artificial intelligence.
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Security wizard with 3+ years of experience within one or more areas: detections engineering, threat intelligence, endpoint hardening, device management, network/vpn/proxy/zero trust, XDR/EDR, DLP, insider threat processes, email security, forensic analysis, reverse engineering, data engineering, penetration testing.
$164,200 - $229,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Educational Background: Ideally a PhD in Epidemiology, Biomedical Engineering, Wound Healing and Tissue Repair, Dermatology, Regenerative Medicine, Biotechnology, Clinical Research, Molecular Biology, or a related field that involves the scientific study of the human body.
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Iaterion is seeking a research scientist to conduct preclinical molecular biology and animal experiments. · Ability to perform basic molecular or cellular laboratory techniques such as cell culture, real-time PCR, western blots, and immunohistochemistry.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security.
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Reporting to a Scientist, the Research Associate will be responsible for performing in vitro and in vivo work to evaluate CAR-T cell phenotype and functionality in support of current pipeline and future development programs.
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Beyond data collection, the Analyst supports the user community of UCSF's space management platform, offering training and troubleshooting to enhance user experience and data accuracy.
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Experience with Android development, Flutter, Kotlin. Experience with distributed systems, microservices architecture, cloud platforms (AWS, Azure or GCP) and RESTful APIs. These services drive everything in our platform from personalized workout recommendations to dynamic media generation and distribution, and analytics based on the largest and most advanced fitness data set in the world.
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Experience with data security (including PHI and PII), as well as data privacy regulations (CCPA and GDPR) Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership.
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artificial intelligence research and development big data user experience jobs Title: engineer in San Francisco, CA
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