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Nice to have:B.S., M.S., or PhD in a related fieldPublications at conferencesExpertise with either big data infrastructure (e.g. Hadoop/Spark/Flink/Kafka/Airflow/Presto) or with using big data technologies for data processing, ETL, reporting.
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3 or more years of relevant technical experience in AWS + Big Data (Cloudera) technologiesDesign, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.
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Ensure that all programming and data are conducted in compliance with GCP, relevant SOPs, and regulatory requirements; review and file study documentation in the trial master file (TMF) system acceptable for audit.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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The trials also involve real world evidence generation, patient reported outcomes (PROs) and analysis of complex big data sets. We are seeking an exceptional Senior Principal Statistician with strong statistical and computational skills to support multiple complex clinical trials in Oncology and COVID. The Senior Principal Statistician is responsible for leading and performing biostatistics and statistical programming activities in these trials, which may be Phase I, II and III pharmaceutical trials and medical device trials evaluating new biomarkers and/or therapeutics.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Demonstrated fluency and competency with statistical programming with the R programming language or the Python programming language. The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Hands-on statistical programming to support CSR, publications, presentations, DSUR, IB update, safety data review, reconciliation, and ad hoc analyses. Ensure that all programming and data are conducted in compliance with GCP, relevant SOPs, and regulatory requirements.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you’ll be responsible for:As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Computational Scientist, Mass Spectrometry Proteomics To restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life.
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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Duties in San Francisco will include performance of cellular immunology assays, mostly based on flow cytometry (Cytek Aurora spectral flow cytometer, FACS ARIA cell sorter, and LSRII cytometers) or ELISpot, development and validation of new flow panels and assays, data management, as well as using software to analyze high parameter flow data.
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Possess proficiency in programming languages commonly used in geospatial analysis, such as Python, R, or MATLAB.Demonstrate strong theoretical and practical knowledge of remote sensing principles, image processing techniques, and geospatial analysis methods relevant to carbon monitoring and climate analysis.
$200,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Proficiency in GraphPad Prism, Excel, PowerPoint, Zoom, and basic statistical data analysis required; bonus if experience with Benchling, Notion, Asana, or Python/R programming. Leverage NGS and machine learning techniques together with the sequencing and data science teams to improve the development of tailored AAV capsids.
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programming big data jobs Company: Brainstation in San Francisco, CA
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