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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, or a related field with 5+ years of experience (PhD preferred). Experience with data visualization tools (e.g., matplotlib, seaborn, plotly, ggplot2) and app development using Python Streamlit or R Shiny.
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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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Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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Master’s degree in Data Science, Bioinformatics, Computational Biology, Machine Learning, Statistics, Mathematics, Physics, and 3+ years of professional experience. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Design, develop, and maintain scalable data pipelines for the analysis of large-scale omics datasets, including genomics, proteomics, metabolomics, and human genetics data. Ph. D. (or equal work experience) in Bioinformatics, Computational Biology, Computer Science, or a related field with a strong emphasis on data engineering, bioinformatics pipeline development, and human genetics.
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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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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.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake). The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Strong understanding of healthcare data standards and terminologies (HL7, FHIR, ICD-10, LOINC, CPT, Medical claim 837/835, etc) Bonus points for JavaScript, MirthConnect, for Rhino JavaScript XML experience.
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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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Working knowledge ofdashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication,as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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As a Principal Data Scientist II - AI Architect, you will play a crucial role in shaping the AI strategy and driving the development of innovative AI solutions across our platform. Seismic’s annual base salary range for this position will vary based on applicant’s location, experience, job level, skills, and abilities as well as internal equity and alignment with market data.
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data job Title: caregiver in Boston, MA
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