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The Partnership Engagement Associate is responsible for operational and administrative support to Customer Success and the Head of Business Development. Communicate relevant inquiries and tasks within Customer Success and Business Development.
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Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Engineering or related discipline. Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and apply them to improve existing processes and methodologies.
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Our department has primary responsibility within UCSF for delivering training in the methods of epidemiology, biostatistics, health data science, public health, and health services research.
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Proficiency in integrating diverse data sets and conducting rigorous biological analyses, including next-generation sequencing and other high-throughput assays (e.g., proteomics). ● PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field.
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This is a hands-on lab-based position in which you will design, perform, and analyze in vitro and ex vivo experiments to validate biological and therapeutic hypotheses derived from clinical biomarker data and real-world data.
$168,730 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.
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We are seeking a Consultative Computational Biologist with expertise in AI and data analytics to serve as a consultative strategic advisor and technical expert for decision-makers. Ph. D. in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related field.
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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OCI Data Services has a strong portfolio of OLTP Services, such as, PostgreSQL, Redis, Aries Storage Platform for ADB-S. The key priorities include - driving large customer adoption; critical features like Cross-Region Replication, Extensibility of PSQL (Vector, Timescale, GIS ; New PSQL versions; Rapid build out of data services in new regions; Strategic initiatives like multi-cloud support and Operational Excellence to handle disruptive events.
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You will partner closely with the leaders of Onyx’s customer organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power AI/ML workloads.
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Lead large load interconnection filings to support data center development portfolio, system impact studies, understanding of substation development costs/timelines, and solutions enablement per end customer timelines.
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Oversee the integration of IT systems with business processes, ensuring that data architecture is structured to support seamless operations across departments, including R&D, QA, Operations, Finance, PMO, and Customer Service.
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Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
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All backgrounds welcome: Work from home, part time, Amazon, customer service representative, medical professional, remote work at home, drivers, administrative assistant, work from home customer service representative, registered nurse, web developer, assistant manager, pharmacy technician.
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customer success data science jobs Company: Databricks in San Francisco, CA
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