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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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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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Work with research informatics and data teams to deploy enterprise-level cheminformatics and machine learning solutions across the discovery and medicinal chemistry groups. This will include implementing machine learning methods for physicochemical property predictions as well as ADME/PK/tox endpoints.
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Ability to apply statistical and machine learning techniques to large clinical variables and OMIC data setsExperience in Programming with R, Python, MATLAB, and/or Java that focus on computational biological applications for clinical dataPrepare detailed quality control report workflows for evaluation by principal investigators and other staff members.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (, AWS, Google Data Analytics, Microsoft Azure) Information for applicants with a need for accommodation: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity. Experience in working with tools like SAS E-miner and use machine learning models to identify patterns and anomalies in transaction data indicative of fraudulent activity.
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Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision. Advanced degree (PhD or MS) in Computer Science, AI, Machine Learning, or a related field.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.
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KRI headquarters, located at the NU Innovation Campus in Burlington, MA (ICBM), is home to one-of-a-kind research and test facilities for conducting activities related to cognitive and distributed RF signal processing and machine learning, unmanned and autonomous system technologies, as well as quantum materials and sensing.
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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. As a member of the Perception team at Zoox, you will be responsible for developing and improving state of the art machine learning techniques for doing everything from 2D/3D object detection, panoptic segmentation, tracking, to attribute classification.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience working collaboratively with computational biology and machine learning scientists for de novo protein design. MIMIC™, our computationally driven bioplatform that couples machine learning with molecular mimicry, engineers therapeutics to trigger a desired biological response.
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Familiarity with popular machine learning/deep learning/statistical packages (such as scikit-learn, TensorFlow, PyTorch, etc.) Develop the proprietary trading system, data warehouse, service-based architecture, machine learning platforms, and simulation tooling.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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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machine learning jobs in Woburn, MA
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