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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. Master's Degree in Statistics, Data Science, Applied Mathematics, Engineering, Operations Research, or similar fields.
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The position will build upon concepts including feature engineering, statistics, data visualization, and optimization, to lead machine learning based analyses of complex data involving tabular, free text, and imaging data.
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Furthermore, this role is pivotal in supporting research activities at HDSI by developing advanced data models, managing architectures, utilizing cloud services for scalable data processing, employing state-of-the art statistical techniques, managing and analyzing large datasets, and applying machine learning algorithms and large language models to derive meaningful insights.
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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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BluePath Labs is looking for a data scientist to join our multi-disciplinary team of developers and researchers in building cutting-edge data science (DS) and machine learning (ML) solutions supporting national security, research and development (R&D), energy, and other critical sectors.
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The BIDMC Cardiology Division and CardioVascular Institute is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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This position is a Senior Scientist, Machine Learning reporting to the AD of Machine Learning, in Computational Drug Discovery at Fog. We are seeking highly talented and motivated people to contribute to the development of the Computational Drug Discovery group, a strategic function in Data Science that is part of Fog's platform discovery engine for HeliconTM stapled-peptide drugs.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
$111,600 - $212,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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An advanced degree or equivalent experience in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
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Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields. The FI AI COE is seeking a Senior Data Scientist with experience in developing and implementing large language models (LLMs) and generative AI algorithms.
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The successful candidate will collaborate broadly with project teams spanning machine learning, data science, protein engineering, and preclinical developability. At our company's Research Laboratories, we believe innovations at the intersection of machine learning and HTP experimentation will transform the way we bring new therapies to patients.
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Research and develop novel statistical approaches and machine learning/deep learning models that add value to manufacturing processes and product performance improvement. Hands-on experience with data engineering/processing frameworks (databricks, spark, dataflow, etc.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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The Chief Scientist/Technical Fellow should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field. The Artificial General Intelligent team (AGI) seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems.
$136,000 - $222,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine learning data engineering scientist research jobs in Boston, MA
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