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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.
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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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Supervise the development and deployment of Robotic Process Automation (RPA) and PowerApp solutions to digitally enhance operational efficiency. data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting.
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Coordinate with data management study leads, clinical operations, internal stakeholders and external vendors to map non-EDC data from collection through analysis.
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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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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Work Experience: 10+ years in Model Development and/or Validation of, Compliance, transaction monitoring, Below the Line testing, and Risk Management function at an investment bank or hedge fund.
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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. In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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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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Build AI Solutions: Lead a team of data scientists working with machine learning engineers to build AI solutions. Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
$218,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning data management process automation jobs Title: director in Cambridge, MA
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