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Oversee AI-based document collection and data extraction technology; validate downstream impact to data warehouse, research management system (RMS), and accounting software. Contribute towards projects including RMS conversion, technology optimization, investment data collection, workflow automation, and more.
$85,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Minimum of 2+ years of experience with Epic Clarity and/or Caboodle data models or with Cerner Millennium / HealthEintent and experience using Cerner CCL. Experience supporting data pipelines that power analytical content within common reporting and business intelligence platforms (e.g. Power BI, Qlik, Tableau, MicroStrategy, etc.
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Day-to-day oversight of external research efforts, including but not limited to identification of vendors, review/approval of work orders, protocol design, assay optimization, troubleshooting data review, data analysis using biological and statistical software (Prism, Excel, other), and data management/organization.
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The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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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.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with bioreactors, downstream purification, and data analysis (Excel/JMP/Prism) Organize and plot experiment data and work with supervision to draw conclusion and form insight for the upstream process.
$30 an hourExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with deep learning, data science, and NVIDIA GPUs. Experience in two or more data estate workloads such as: Microsoft's Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL or HDInsight, etc.
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Act as the medical monitor for clinical studies, reviewing patient data on an ongoing basis and meeting with investigators to develop an understanding of the safety profile and antitumor activity of new immuno-oncology agents in development.
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Develop Master Data Management (MDM) solutions : Implement solutions across various master data domains within MassMutual, ensuring data consistency and reliability. Provide comprehensive support for MDM solutions : Manage data ingestion, master record creation, outbound data extracts, and API integration to maintain seamless data operations.
$148,400 a yearExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience in data modeling, data science, data visualization, machine learning with computing technologies are highly desirable. Must be currently pursuing a PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Chemical Engineering, Computer Engineering, Applied Mathematics, Mechanical Engineering, or related field.
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Responsible for performing field data collection and sampling (soil, groundwater, soil vapor, and surface water), and office tasks (including field activity planning, preparation, and summary reporting) to support petroleum and hazardous waste site investigations under New Hampshire Department of Environmental Services - Contaminated Site Management Programs, Massachusetts Contingency Plan, and other similar New England state programs.
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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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A particular focus of the group is to design robust, responsive, and integrated multimodal urban mobility systems based on advanced data analytics and artificial intelligence, behavioral science, and transportation technology, and building on the MIT Transit Lab’s decades of collaboration with leading global transportation agencies and operators.
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Experience working with large-scale biological and chemical data sets (e.g. biologics, sequencing, genomics, proteomics, high-throughput screening). Stay abreast of the latest developments in data science, bioinformatics, and machine learning, and integrate relevant methodologies into research projects.
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Works with Laboratory Supervisor and technician to schedule daily assignment pertinent to clinical study related protocols, provides backup-support during absence of technician and data manager (keying reports, etc.
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data job in Cambridge, MA
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