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Leverage data integrations using systems such as AWS Athena, Redshift, Cognos, SharePoint and Power BI Services among other technologies. Experience in the design and implementation of the different data processes like profiling, exploration, collection, processing, cleaning, and preparation of data, ETL, ELT, ETLT data processes and data pipelines with Python, SQL, Non-SQ, MS Power BI Services and Power Query.
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The Data Scientist will also interact with lab members emulating clinical trials in electronic health records using federated learning of target trial emulation with collaborators conducting molecular dynamic simulation for drug discovery, and with medicinal chemists conducting in silico screening.
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Must have good work experience knowledge in ADLS ADF Snowflake Databricks Azure AIML Purview APIs Collibra Data processing in Azure cloud. Minimum of 15 years IT experience in Data BIA solution architecting of which at least 3 years in Azure Snowflake Databricks.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data). Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
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The primary area of responsibility for the Sr. Risk Data Scientist will be in Anti Money Laundering (AML) and Sanctions compliance, however, depending on candidate experience, the role will also cover other areas of responsibility including model development for consumer risk and other areas of regulatory compliance.
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Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP). As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Reporting to Dr David Levine, the Data Scientist will work across all phases of the research project, including extraction and organization of clinical and other data from a variety of information systems, automated data cleaning and verification, design, administration and construction of databases, analysis using valid statistical approaches, and development of new informatics and clinical tools.
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We are seeking a scientist to join our Systems Immunology Lab in Client's Inflammation & Immunology Research Unit. The successful candidate will be responsible for generating and processing single-cell, spatial, and functional genomics data, as well as supporting standard immunoprofiling activities such as cell culture and flow cytometry.
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Collaborate closely with other computational scientists and medical professionals, such as physicians and researchers, to design and execute data analysis projects aimed at advancing HPV and HIV research.
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Tableau, Power BI, and Qlik; collaborating with cross-functional teams in an agile environment to formulate hypotheses by translating high-level business problems into more specific questions which can be answered through data analyses and prioritizing, sequencing, documenting the steps involved using tools such as JIRA, Confluence, and MURAL.
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The Data Scientist will also interact with lab members emulating clinical trials in electronic health records using federated learning and with collaborators conducting molecular dynamic simulation for drug discovery.
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Deep understanding of biological data sources (e.g., genomics, proteomics, metabolomics) and their integration into knowledge graphs. PhD in Bioinformatics, Computational Biology, Data Science, Machine Learning, or a related field.
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The Data Scientist will be responsible for Exploratory Data Analysis (EDA), feature engineering, feature selection, real-time streaming pipeline engineering, online/offline feature store curation, iterating various modeling approaches, evaluating error metrics, deploying Machine Learning models to the cloud, creating compelling visualizations and communicating findings effectively to large audiences.
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Experience with relational transactional databases (Postgres, MySQL), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse), and other analytical systems. You'll work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA, and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.
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O Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. We are looking for a self-directed professional to support Digital Health Technology [DHT] (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Biomeasures Endpoints and Study Technologies (BEST) projects.
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data job Company: Joveo Us in Woburn, MA
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