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addition to overseeing end-to-end delivery of approved initiatives, the role provides management and oversight of the Low Code Centre of Excellence (CoE), ensuring that low-code solutions developed centrally or through
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 3 hours ago
Job Code: 15-26 Job Offer from April 01, 2026 At the Max Planck Institute for Multidisciplinary Sciences , we bridge the gap between basic research and translational, preclinical approaches. Here
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. The ideal candidate will act as a bridge between business needs and technology solutions, leveraging low-code or no-code platforms to develop solutions that enhance operational efficiency and advance SAO’s
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JOB DUTIES Description As the Clinical Documentation Integrity Specialist – Medicare Advantage Risk Adjustment, you will be an expert in risk adjustment coding and documentation, working closely
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and procedural policy. This includes guiding students in the project design process, providing design feedback (as needed/requested) to students on best coding practices. The incumbent will also train
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reports. Enters documentation for contracts, receipts, and invoices in appropriate system with minimal errors Reviews documents for mathematical accuracy, proper coding, compliance, and approval as directed
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-facing app creation using both code-based and no-code tools. Collaboration is key, with responsibilities including effective communication across teams and vendors, partnering with users to generate
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responsible for planning and organizing necessary tasks to ensure adherence to the study protocol and applicable regulations, such as institutional policy and procedures, FDA Code of Federal Regulations (CFR
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of medical records to evaluate accuracy of codes for medical billing and to ensure that all services have been captured. Applies general knowledge of CMS regulations and third-party payer guidelines to confirm
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 15 days ago
and profile existing research AI workloads to identify performance bottlenecks and portability challenges; and port and optimize complex AI models and scientific code to run efficiently on AMD MI355X