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Development and implementation of advanced machine learning models specifically designed for analyzing heterogeneous biological data. 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.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sage maker, Snowflake Cortex etc. Information Architect III (IT). Bachelor’s degree in computer science, Information Systems, Software Engineering or similar field.
$95 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Description The Massachusetts Gaming Commission (MGC) seeks an Information Security and Privacy Analyst reporting to the Information and Network Security Manager to establish, review and maintain the full range of information technology policy and oversight programs for MGC in accordance with applicable laws and regulations.
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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.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience building financial analytics models and tools from scratch in MS Excel and experience with one or more of the following: VBA, MS Access, SQL Server, Data Visualization applications (such as Tableau, Power BI, or Spotfire), and Alteryx.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Postdoctoral Fellow – Machine Learning: We are seeking talented and driven postdoctoral fellows with experience in machine learning for image analysis to join the computational team of the Center for Large-Scale Imaging of Neural Circuits (LINC) at Harvard Medical School and Massachusetts General Hospital.
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Knowledge of artificial intelligence and machine learning is preferred. Advanced knowledge of business tools and applications, including MS Office Suite, Visio, Azure DevOps, Salesforce, Copado, and Jira.
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I'm working with a pre-clinical biotechnology company revolutionizing the field of antibody discovery through the integration of cutting-edge machine learning (ML) platforms. Job Description: As a Principal Scientist, Antibody Development, you will play a pivotal role in driving our antibody discovery programs from conception through to preclinical development.
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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 with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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Ideal candidates will possess: Familiarity with analyzing oncology clinical dataFamiliarity with DBT workflowsFamiliarity with creating and maintaining BI dashboards; Looker experience nice to haveFamiliarity with machine learning techniques, with an understanding of the strengths and limitations of various approachesProficiency in navigating large, complex problems within a fast-paced environment.
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As a data scientist for PRS, you will develop predictive modeling / machine learning solutions to complex business problems and create value to the business. If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. Experience with machine learning techniques and tools including deep learning, reinforcement learning, and unsupervised learning.
Full-timeExpandApply NowActive JobUpdated 11 days ago
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