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Format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis. Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python.
$187,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with Quality, Regulatory, and Clinical Data Management platforms such as Veeva QMS, Medidata Rave, IQVIA RIMSmart. Execute data integrity assessments, access control, and audit trail reviews partnering with IS, System/Business Owners, and Quality to ensure effective controls.
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Experience with data visualization tools (e.g. Grafana, Looker, Tableau, DataStudio) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA) 2+ years of experience as a developer, data scientist or machine learning engineer.
$303,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience using SQL, Python and pandas, Presto, Spark, Hive, Tableau, Airflow, Docker, distributed system optimization (Spark, Presto, Hive) and/or equivalent data engineering and data analytics technologies.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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With assistance from the Principal Investigator - Dr. Manali Patel, Assistant Professor of Medicine (Oncology) at Stanford University , the Research Assistant will perform data collection, data entry, data management, simple data analysis, and creation of reports for funders as well as peer reviewed publications.
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Experience with next-generation sequencing technologies and analysis of genomic data. We are seeking a highly motivated and experienced Principal Data Scientist to develop novel and innovative algorithms for converting the raw signal from Adela’s whole methylome platform into biological and clinically actionable insights and to provide technical leadership.
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Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc. You will work directly with researchers, data scientists, software engineers, and subject matter experts in the definition of new generative AI capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation.
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Primary duties include maintaining the integrity, quality and accuracy of the Salesforce donor database, managing the gift processing and stewardship process, documentation of policies and procedures, reports, and mailing list management.
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Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C. We are looking for a Quantitative User Experience Researcher to help us understand the key needs of the design language using a combination of foundational and tactical quantitative research.
$87 an hourExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Identify, design, and develop data analytics extract routines on various platforms such as Looker, Databricks, Python to support audit activities. Perform audit tests of controls by analyzing audit evidence and data, preparing audit work papers, evaluating test results, and drawing conclusions on the efficiency of controls.
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Adverum's core capabilities include clinical development, novel vector discovery and in-house manufacturing expertise, specifically in scalable process development, assay development, and current Good Manufacturing Practices quality control.
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Lead large transformations for former employers and evolve & mature current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Lead analytical development and quality control for AAV gene therapy programs. The successful candidate will lead analytical development and quality control for Altos AAV Gene Therapy programs.
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data quality jobs Company: Capgemini Holding in Palo Alto, CA
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