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Proficiency with Medidata Rave EDC, Clinical Data Repositories and Visualization software. Ability to use a combination of Electronic Data Capture (EDC) systems and/or other internal or commercial software tools and proven ability to learn and apply new software quickly as projects require.
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AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam.
$241,000 - $362,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working with our CSO to build powerful biomarker discovery tools and selecting high performance biomarker sets leveraging Curve’s Whole Body Tissue Atlas (WBTA) of DNA methylation data from >250,000 samples from >100 tissue and disease states.
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Experience with data from phage or yeast display or NGS generally. Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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Senior Data Scientist, Computational Biology. Experience with technologies for measuring antibody diversity and selection, including sequencing data of immune repertoires. This position will accelerate BigHat’s data science capabilities focused on advancing BigHat’s state-of-the-art antibody engineering platform.
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A successful Applied Performance Engineer will have a broad range of skills and experience ranging from Spark, Python, Scala, Java, SQL, data warehousing, data engineering, security, performance analysis and analytics.
$246,100 - $376,913 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Set the data science vision for RingCentral’s Data & Analytics organization and build the roadmap to drive business results. Evangelize the data science and research function within RingCentral and foster a strong data science community.
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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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Experience consuming large data sets, data models, and data pipelines, with tools such as Databricks, DBT, Looker, Snowflake, and/or Redshift. You'll partner with our Data Analytics vertical teams, Machine Learning, and Product teams to help shape the narrative and deepen our expertise in understanding credit performance across Upstart platform.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Design the next generation real-time big data processing, storage and analytics engine for stateful metrics, emphasizing scalable, reliable and cost-effective solutions for low latency queries across diverse domains.
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Proficient with device collections, including experience with Cellebrite Digital Collector and Physical Analyzer in imaging and extracting data, Paladin (laptops/desktops), EnCase/FTK and other forensic collection technology tools (certification a plus.
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Reporting to the Director of Data Platform, the Staff Software Engineer will be responsible for building a large-scale data platform that enable cross-product solutions. to join our BDPaaS (Big Data Platform as a Service team.
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Overall responsibilities will include supporting clinical data management activities from study start-up through study closure in support of trial objectives and corporate goals. Lead data review, query management, and data management metrics reporting to ensure completeness, correctness, and consistency.
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8+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark and Airflow. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, economics, and machine learning.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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data job Title: big data software engineer Company: Perficient in San Mateo, CA
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