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Collaborates with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis and clinical note preparation.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies.
$124,000 - $182,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of data analytics methodologies, including statistical analysis, machine learning, and predictive modeling. They should be proficient in using various data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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A minimum of 10+ years of related Industry experience as with a focus in sales, sales engineering, &/or technical product marketing, enablement, and/or enterprise software in data cloud, data warehouse, data engineering, &/or data science.
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Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We build tools to interact with and monitor our vehicles remotely: everything from in-the-field diagnostics to step-function operational improvements like remote software deploy and automated scheduling.
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BigHat Biosciences designs safer, more effective biologic therapies for patients using machine learning and synthetic biology. We are seeking a self-motivated, experienced Machine Learning Engineer.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology. Genesis Therapeutics is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.
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And CUDA C. Ideal candidates have a background in optimizing robotics software on embedded systems (especially NVIDIA Jetson), as well as strong software engineering skills. Excellent software engineering and algorithm skills.
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Engage actively with multiple departments, playing a catalytic role at the intersection of computational biology, machine learning, and domain-specific challenges. Karius core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning.
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Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem) and machine learning (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas.
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Experience with learning management and eLearning course authoring software such as Articulate 360, Articulate Storyline, or Adobe Captivate. The Learning Specialist delivers instructor-led, classroom, webinar, one-on-one and web-based training to both new and existing SRG employees, with an emphasis on SRG sales, customer service, and leadership development.
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machine learning data mining software engineering visualization jobs Company: Sheetz in San Mateo, CA
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