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Catchlight is seeking a dynamic Director of Engineering to lead our team in developing products using machine learning, large language models (LLMs), modern web applications, APIs, microservices, and cloud-native architecture.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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This is a very exciting opportunity for talented engineers seeking to be part of highly visible and advance compliance technology group working in cloud environment with databricks, Machine learning and niche vendor products.
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Examples are machine set-up and operation, machine maintenance and repair, material storage and handling, ESD protection and soldering techniques. Create, optimize, and maintain the SMT programs for the Pick & Place Machines, Solder Pastc Printers, Automatic Optical Inspection Machine, Automatic Solder Paste Inspection Machine, and Reflow Ovens.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Experience working with digital educational content or designing learning experiences as an instructional designer, a learning experience designer, a creative role in ed tech, in educational publishing, or with experimental pedagogical approaches in the classroom.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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Panda Intelligence is currently representing a novel oncology-focused Biotech with roots in MIT and one of the most prominent tech accelerators in the US, with the team currently seeking a Senior Computational Chemist with machine learning expertise ahead of advancing their AI-driven small molecule drug discovery pipeline.
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Proven experience in AI, machine learning, or data science, with a focus on applications in drug discovery, bioinformatics, or healthcare. Manage and mentor software engineering teams, promoting a culture of innovation, collaboration, and continuous learning.
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Able to move portable x-ray machine to examination site. Comprised of Tufts Medical Center, Lowell General Hospital, MelroseWakefield Hospital, Lawrence Memorial Hospital of Medford, Care at Home - an expansive home care network, and large integrated physician network.
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We’ve developed nELISA , the world’s highest throughput proteomic platform, by tackling some of the toughest challenges in protein profiling through a combination of DNA nanotechnology, high-dimensional flow cytometry, lab automation, and machine learning.
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In collaboration with the Senior Director of Clinical Services and Social-Emotional Learning and other OSS leaders, develop and implement programs that support students’ academic and social-emotional learning.
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machine learning jobs Company: Apple Inc in Brookline, MA
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