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PhD or equivalent in Statistics, Biostatistics, Bioinformatics, Data Science, Epidemiology, Health Informatics, Computer Science or similar field. We are particularly interested in individuals who bring expertise in topics including Bayesian methods, causal inference, global drug surveillance, pharmacoepidemiology, biostatistics, data interoperability and harmonization, data standardization, surgical and medical device epidemiology, and health economics and outcomes research for quality measures.
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PhaseForward Inform, Oracle Clinical and/or other clinical data management software desirable;General software skills: MS Access, MS Word, MS Excel, MS Project, Visio, familiarity with medical coding dictionaries, especially MedDRA and WHODRUG.Experience applying best practices in clinical data management programming in the clinical trial environment, including requirements definition and QC plansKnowledge of GCP and other regulations.
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We are seeking a highly motivated and capable Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems.
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Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
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Python Development: Have a minimum of 3-5 years of hands-on experience in Python development, with a particular focus on data science, machine learning, and AI. Moreover, at least 4-8 years of experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in other Client algorithms and libraries.
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Under the direction of a senior biostatistician and senior project manager, this SAS Programmer will use SAS software and other technical tools to clean data, build datasets, and run statistical analyses for multiple health policy-focused research projects.
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The technologist assists in the maintenance of equipment, patient data, and supplies as directed by the IOM Chief Technologist. Under the supervision of an experienced technologist, this technologist provides troubleshooting and technical interpretation of intraoperative neurologic data during surgery to the Medical Director and to the surgical team.
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Performing lab experiments including synthesis and materials characterization, operating electrochemical systems, analyzing data, and presenting results. This contributor will be responsible for conducting research including hands-on lab-scale testing, data analysis, literature reviews, and will work with the rest of our engineering team to scale our technology.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Job Title: Research Associate III OBJECTIVES: Develop methods for quantitation and characterization of viral vaccines and immune responses, including participation in project planning, execution, data analysis, and interpretation.
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Our group specifically utilizes continuous invasive and noninvasive neuromonitoring and EEG, continuous vital sign telemetry, and neuroimaging as well as electronic health record data and clinician interviews to provide clinical context.
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Experience with OMS and EMS workflows, market data platforms and trading venues. We’re seeking a future team member for the role of Senior Vice President, Equity Trader to join our Buy Side Trading Solutions Team. This role is located in Boston, MA - HYBRID. In this role, you’ll make an impact in the following ways: Manage all aspects of executing complex order flow across a global, multi-asset trading business, in support of a wide range of investment strategies.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Experience with general programming and data analysis tools/languages such as MATLAB, Python, R, Spotfire, etc., is required. QSP models are mechanistic, mathematical models based on integration of non-clinical/clinical knowledge and data to represent varying scales of drug pharmacology from target binding and modulation through disease pathophysiology and multi-drug pharmacology.
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Experience in SAP integration with trading platforms (e.g., FXall, 360T) and market data feeds (e.g., Bloomberg and Reuters). A strong understanding of cash management, FX, Debt capital markets, and interest rate risk management.
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data job Company: Trio Healthcare in Boston, MA
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