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Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). The ideal candidate will have strong analytical skills, extensive experience with data visualization tools such as Salesforce CRMA and Tableau, and a deep understanding of fundraising metrics and processes.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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O Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. Innova Solutions is immediately hiring Data Operations Manager/ Clinical Data Manager.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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You will lead or provide Quality expertise to latest data programs that includes integrated data flows with end-to-end data management control mechanisms, internalization of enterprise systems and processes, enablement of automation, near-time data access/streaming data sets, efficient data query review, and flexibly ensure inspiring technologies for insight derivation (to ensure company programs will remain compliant with regulatory expectations.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Lead the establishment and execution of data management practices to support research and development, clinical trials, and business operations. 5 years of experience as Chief Data Officer or Chief Digital Officer in an AI-driven techbio company, leading computational sciences (computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology) and supporting digital infrastructure systems (biological/lab automation, software automation, workforce automation, IT, informatics, security.
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Oversee the development of study-specific CDM documentation such as eCRF specifications, eCRF completion guidelines, edit check specifications, and data management plans identifying and mitigating risks to data quality and proper inclusion into the Trial Master File (eTMF.
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Develop and implement a comprehensive data strategy that includes all aspects of data quality, data governance, data management, information strategy, and data science.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Experience with data visualization and web development software including but not limited to Tableau and PowerBI.Experience with web development platforms and coding applications such as python, JavaScript, Java, or R. Experience in communications and/or graphic design a plus.
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions.
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As a Senior Economist, you will use open-source programming languages (R or Python) in Databricks to analyze large, complex, but well-structured data sets from our data warehouse (SAS is also available if desired.
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data job Title: data lead Company: Joveo Us in Woburn, MA
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