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Experience developing, debugging, and scaling models using modern deep learning frameworks such as Pytorch or JAX. Engineer production-grade machine learning systems in conjunction with our Engineering teams for large-scale distributed compute setups and be deployed for design of million-variant+ de novo libraries.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sagemaker, Snowflake Cortex etc. Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others.
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The machine learning engineer will be responsible for data from the electronic data repository, including EEG, video, and peripheral blood biomarkers. The machine learning engineer will work and mentor a team of researchers in searching for patterns hidden in large data sets for research in neurology.
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Experience with any of the following Frameworks Spring, Django, R Shiny, Tensorflow, MXNetUnderstanding or Application of Machine Learning and / or Deep LearningExperience in a scientific environment.
$209,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. The successful candidate will work at the interface of data analytics, data mining, statistics, bioinformatics, and machine learning with broad impact across early discovery, candidate development, and biomarker discovery.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Master Data Management and Governance. Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL. Data Integration Services: Informatica Cloud, Airflow.
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Help us change the future of work for doctors in the United States by applying state of the art technology solutions, including data API development, modern integration patterns, frameworks for building beautiful, responsive applications, machine learning, natural language processing, and explicable AI - in partnership with key partners.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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FL97 is seeking experienced, creative, and talented Machine Learning Researchers (LLMs) across Scientist, Senior Scientist, and Principal Scientist levels to join our team. The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Meta data management/Data Catalog: Informatica EDC. Data Security : Experience in working within compliance (e.g.: quality, regulatory – data privacy, GxP, SOX) and cybersecurity requirements is a plus.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Very strong Python programming skills and experience with modern machine learning tooling (scikit-learn, JAX, PyTorch, Tensorflow, etc.) Vertex Pharmaceuticals is seeking a machine learning expert to lead machine learning efforts in the Data and Computational Sciences (DCS) team, which is responsible for the data science and computational science efforts for all of Global Research at Vertex.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Furthermore, the person is expected to lead the day-to-day governance responsibilities such as ongoing performance monitoring, orderly remediation of findings, and annual reviews.
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Job Summary: The Data Scientist will be an MEng, PhD, or someone with similar educational or work experience who has both conceptual/theoretical and practical/hands-on expertise in data science, artificial intelligence, machine learning (includuing deep learning), and related areas and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, and entrepreneurial acadmic setting.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. At least 6 months of experience or academic work using machine learning techniques.
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modern data governance machine learning jobs Company: Wex in Cambridge, MA
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