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At Genentech Computational Sciences (gCS) Prescient Design, we are seeking a highly motivated Machine Learning Scientist to help drive research on Machine Learning for Drug Discovery.
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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.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with image analysis, machine learning, and deep learning frameworks Pytorch, TensorFlow-Keras). The incumbent will apply image analysis and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology digital pathology research for programs in clinical development.
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You will work with a diverse group of engineers, data scientists, and risk modelers to evolve a platform and application suite that mesh data and machine learning to tame an expanding array of use cases, including automated underwriting, pricing, directed claims handling, and cyber - the #1 threat to US national security, above nuclear weapons.
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Our teachers also implement Social Emotional Learning lessons and Restorative Practices to create a joyful, inclusive classroom community. Maintain a positive, warm, inclusive, rigorous, and engaging classroom environment that incorporates Restorative Practices and Social Emotional Learning.
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As a Senior Research Scientist on the AI/ML team you will develop and apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the life sciences aligned with CZI’s mission.
$285,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Collaborate to identify, evaluate, and recommend novel and cutting-edge automation and assay strategies to drive our discovery programs, including machine learning and artificial intelligence. The Scientist will work collaboratively with other team members in a fast-paced environment to operate automated laboratory equipment and systems to support various DMPK assays.
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Have the ability to learn and utilize instructional technology to support in-class and distance learning when needed (i.e. Zoom, Nearpod) Essential Functions and Responsibilities Daily lesson planning and long term planning using curriculum and resources to align with KIPP’s academic vision and goals.
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Medical (HSA & FSA), dental, vision, 401(k) with company match, employee stock purchase plan, commuter benefits, in-house wellness program, broad learning & development opportunities, a charitable giving platform with company match and more.
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To be considered, Candidates MUST have extensive experience in the following: Computer Vision, Deep Learning, forecasting, transformers, CNNs. You must also possess strong experience building data models.
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Our research areas include deep learning applications in financial data, supervised and unsupervised representation learning, predictive modeling for fraud and risk management, consumer behavior modeling, recommendation systems, payment foundational models, scalable machine learning systems, privacy preserving data analytics, and related fields.
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PhD in natural language processing, language modeling or machine learning, model compression, model optimization or related areas. 2+ years of industry, academic, or government lab experience in natural language processing, language modeling and/or machine learning , model compression, model optimization or related areas.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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As a learning organization, we encourage professional development and career advancement, and we offer up to $3,000 annually ($12,000 lifetime maximum) for education assistance with tuition reimbursement and/or loan debt relief that includes qualified family members.
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learning job Title: sr data scientist in Burlingame, CA
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