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Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
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Proficiency in programming languages such as Python, R, or SQL. Strong knowledge of machine learning techniques, statistical analysis, and data visualization tools Tableau, Power BI.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Benefits: 401(k) 401(k) matching Bonus based on performance Competitive salary Dental insurance Health insurance Opportunity for advancement Paid time off Profit sharing Vision insurance Job Title: CNC Machine Operator and ProgrammerLocation: Santa Paula, CACompany: Link Engineering And Design IncAbout Us: We are a small, family-owned engineering /machine shop specializing in precision machining.
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Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning. PhD. in computational biology, bioinformatics, or other biomedical sciences with a minimum of seven years’ experience in applying bioinformatics approaches to drug discovery/development, preferably in a biopharma setting.
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Preferred Education:Bachelor's Degree in Engineering or a related disciplinePreferred Certifications:Biomedical Equipment Technician Certificate (BMET)Certified Biomedical Equipment Technician (CBET)Electronic Engineering Technology (EET)Additional Qualifications:Original Equipment Manufacturer or equivalent level of training on devices and systems that BME Specialist is considered expert.
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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Application of advanced statistical, machine learning, and/or data mining techniques (i.e. classification, clustering, association mining, forecasting), to real-world problems with massive healthcare claims data Deep knowledge of advanced analytics tools and languages to analyze large data sets from multiple data sources.
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Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certification from an accredited Electronics Tech program, an Associate's Degree in Electronics, Biomedical or Electronic Engineering or equivalent. As an Auxo Biomedical Equipment Technician, you'll assist in servicing, repairing and testing of medical equipment.
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Proven experience as an NLP Engineer, Machine Learning Engineer, or similar role, with a strong background in natural language processing and machine learning. Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models.
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Requirements: Associate degree or higher in Biomedical Electronics Technology, Biomedical Equipment Technology, or Biomedical Engineering Technology, or in a related technical field such as Electronic Technology or Information Technology.
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Three years of experience as a Biomedical Equipment Support Specialist, Biomedical Equipment Technician, Field Service Engineer, Medical Equipment Repairer, or Information Technology Specialist.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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