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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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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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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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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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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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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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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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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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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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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.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Relevant analytical/programming experiences in the life science industry, including:Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA). Data Scientist II: 5+ years' work experience in other top-tier consulting firms or within the Pharmaceutical or Biotechnology industries.
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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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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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Drive the adoption of best practices in data engineering, including the use of SQL, Snowflake, dbt, Python, and cloud platforms like Microsoft Azure. Oversee the design and management of scalable, secure data platforms, including SQL databases, Snowflake, dbt, Microsoft Azure, and other cloud-based solutions.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) 5+ years of deep experience building cloud data solutions (Azure, AWS, GCP, Snowflake, Databricks) and migrating from on-prem to cloud.
Full-timeExpandApply NowActive JobUpdated 5 days ago
data job in Melrose, MA
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