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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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Familiarity and experience utilizing data warehouse, data analytics, Smartsheet, K2 and reporting tools a plus (e.g., Cognos, SQL, R, Python, Tableau, Power BI) You are a well-versed disbursement tactician with a continuous improvement and operational efficiency and effectiveness mindset who delivers data driven outcomes via key performance indicators (KPI) and service level agreements (SLA.
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Create master DMPK data file and initiate multiangle PK related data analysis. · DMPK Data entry to internal database. · Analytical skills with LC/MS/MS (e.g. HRMS), data interpretation, and troubleshooting skills for bioanalytical equipment and method development.
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Data integration including MuleSoft and integration between Salesforce and other RDBMS and NoSQL databases, and cloud-based data warehouses (e.g. Snowflake) As the lead Technology Architect, you will be responsible for the overall technology delivery and should have the technical depth to dive into the specifics of each aspect of the solution, including the software development, data engineering and analytics, Salesforce backup and archival, Security, QA processes and User Experience (UX.
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Proclinical is collaborating with a Global pharmaceutical company who are seeking a Senior Research Associate to join our team in Cambridge, MA. They will collaborate closely with computational experts to develop data analysis pipelines and investigate the application of NGS in diverse areas to expedite workflows and enhance pipeline programs.
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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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NGS Data Analysis: Lead and contribute to the design and execution of bioinformatics pipelines for the analysis of NGS data, with a specific emphasis on RNseq datasets. Provide insights into potential therapeutic targets based on genomics and transcriptomics data, contributing to the overall drug development strategy.
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Perform integrative macroscopic and microscopic primary reads and peer reviews of animal tissues from toxicology, investigative, translational and discovery studies; interpret observations and determine the biologic and toxicologic significance of clinical pathology, organ weight, necropsy, and histopathology data in the context of other study data.
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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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Data management & analysis platforms (e.g., Databricks, Snowflake, etc.) Data visualization / business intelligence tools (e.g., Tableau, Qlik, Power BI, etc.) Collaborate with Data Management & Digital teams to integrate and unify first-party, second-party and third-party media data sets from disparate sources to create a 360 view of consumer interactions across channels at various stages of consumer marketing funnel.
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Assess ITAM, CMDB, and SCCM data for field validation, clean-up, and correlation of data elements. Experience with ITAM, CMDB, and SCCM/MECM data management. The Desktop Automated Software Delivery Project is focused on expanding software titles to the application catalog in Software Center and the Service Catalog, data synchronization with ServiceNow, and further automating software delivery for our growing customer base.
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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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Data quality surveillance of CRF and external/non-CRF clinical trial data (e.g. Biosample Lab Data, Biomarker Data, Imaging) in collaboration with other Clinical Operations roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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PhD in Computer Science, Physics, Mathematics, Bioinformatics, Machine Learning, Data Science, or relevant fields. The Principal/Senior Data Scientist will lead the technical team to develop and apply state-of-the-art computational and statistical methods to deliver testable hypotheses and biological insights in Personalized Medicine.
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The Associate Director Analytics is responsible for working with account teams and their clients to undertake client analytics, back-office analytics, and decision modeling - including report design, data capture development, and implementation processes.
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data job Title: caregiver in Woburn, MA
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