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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to process large biomedical datasets, develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies.
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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.
$135,240 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) The Associate Director, Clinical Data Analyst, has a critical role in the delivery of high-quality external data across Dyne's development pipeline by proactively identifying, measuring, and mitigating risk prior to acquisition of non-electronic data capture (EDC) data.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Supervise the development and deployment of Robotic Process Automation (RPA) and PowerApp solutions to digitally enhance operational efficiency. 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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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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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Partners with model owners and developers to understand the business context for model use, producing technical guidance and adding value to the business process.
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Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions. Experience with a wide range of AI techniques, including machine learning, deep learning, natural language processing, and computer vision.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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The incumbent will provide Automation support to the daily operations, continuous improvement, and projects for the Pilot Plant, Bulk Manufacturing, Filling, Assembly, Packaging, Utilities, Facilities, and other DCS and PLC Automated Equipment and Control Systems on a GMP regulated environment.
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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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The Process Improvement/Project Management Specialist, Remote for Beckman Coulter Diagnostics is responsible optimizing customer organizational performance by leading the implementation of cost savings projects that track directly back to the customers P&L. Also, enhancing the alignment and efficiency of business processes by ensuring continuous, sustained improvement across the enterprise through the implementation of Danaher Business System like tools and methodologies.
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Principal Scientist, Protein Production and Process Development. and with proteins expressed in mammalian cells with oversight of both upstream and downstream process development. The incumbent will interface with internal preclinical Immunology, Protein Modality, and DECODE platform teams, as well as the internal CMC Leader, to provide protein reagents and protein leads, including data packages supporting Development Candidate nomination.
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machine learning data process automation jobs Title: director in Cambridge, MA
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