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Strong understanding of revenue cycle management processes, including charge capture, claims processing, and reimbursement methodologies. Epic certification in Resolute Hospital Billing (HB) required, additional certifications preferred (i.e. Professional Billing, Claims, Benefits Engine.
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Expertise in polymer extrusion (ideally in polyurethane processing), reactive extrusion (REX), compression molding, and injection molding. Correlate material properties to optimized processing conditions for TPU compounding, extrusion and injection molding.
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Deep expertise in working on IQVIA and Symphony Claims, Komodo claims, Optum, Definitive health, Health Verity, EMR data, Lab Data and patient chart audits. Conducting secondary research: analyze secondary data sources (e.g. Rx, claims, EMR, epidemiology data) to produce descriptive and diagnostic summaries, and insights/implications.
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Collaborate with backend engineers and data engineers to integrate the frontend application seamlessly with data pipelines and workflows on top of modern data processing technologies such as Apache Spark and Databricks, to support the real-time processing and visualization of large-scale data.
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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase.
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We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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Research and develop Deep Learning or other computational models with at least one of Computer Vision, Natural Language Processing, and EMG signal processing. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, AR/VR and human-computer interaction.
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Proficiency in major distributed stream processing frameworks, such as Akka Streams, Apache Spark, Apache Flink and others. You will work with some of the best engineers in building our distributed real-time streaming platform for processing, indexing and querying internet scale data.
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Ensure Data Processing team is maintaining expected regular cleansing of mailing list data using appropriate processing software e.g. BCC, CASS, NCOA, and Postal Presort. Lead, mentor, train, and coach the mailing and data processing department team members to produce quality products in a timely, efficient, and cost-effective manner.
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ADAS radar architectures and signal processing schemes. Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning.
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Research experience in machine learning, deep learning, computer vision and/or natural language processing. Currently has or is in the process of obtaining a Ph. D. degree in Computer Science, Computer Vision, Audio Processing, Artificial Intelligence, Generative AI, or relevant technical field.
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Absorb machine learning literature, particularly in natural language processing, and quickly prototype new techniques by engaging with relevant research papers and textbooks. Solid understanding of machine learning concepts and recent natural language processing techniques.
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The successful candidate will provide scientific and technical overview for tissue-based methods that span sample processing, assay development, whole slide scanning, image QC, analysis, and data reporting.
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Familiarity with data processing and visualization tools for data analysis (e.g., GraphPad Prism, Genedata Screener, R, etc.) cellular assays (e.g. mammalian cell culture, Lentiviral Transduction, 2D and 3D cell culture, SDS-PAGE/Western blot, qPCR, CRISPR-based gene editing) and implement relevant assay readout technologies (e.g. Luciferase, CellTiter-Glo, TR-FRET/BRET, MSD.
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Deep understanding of and experience with the latest natural language processing techniques. The company has raised $250 million from investors including Silver Lake, BOND, NEA, and Bob Iger. Initially, Genies were adopted by thousands of Hollywood icons including Justin Bieber and Rihanna through partnerships with Universal Music Group and Warner Music Group.
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claims processing jobs Company: Anthem in San Mateo, CA
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