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Da Vinci® Robotic surgery program; Mako Robotic-Arm Assisted Surgery. Shall be accountable for maintaining the confidentiality and security of all hospital-related, medical staff and patient related data and information.
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This person will have a hands-on role implementing software solutions needed for those business solutions, leveraging AI and machine learning to identify inefficiencies and opportunities for automation, and overseeing third party consultants to ensure relevant projects are completed on time and within budget.
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Background in applied or pure mathematics, statistics, bioinformatics, machine learning or computational biology; interest in cancer biology and work experience in computational biology and/or biostatistics are preferred.
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This candidate should have experience in at least one area of deep learning but have familiarity with a broad array of techniques, such as data pipeline development, metabolic engineering, or protein engineering.
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We also use bioinformatics pipelines and develop novel bioinformatics approaches to analyze data types such as single cell RNA sequencing data, spatial transcriptomics data, epigenetics data such as DNA methylation and ATAC sequencing data, and others.
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Reports to: Director of Lab Automation and Process Optimization. · Engage in scientific discussions about the application of automation, present innovative process improvements at internal meetings and conferences, and contribute to scientific articles and papers.
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Ampersand Biomedicines, Inc is looking for an enthusiastic and self-driven AI/ML Engineer with deep expertise in development of AI/Machine Learning/Deep Learning to join our team in developing a cutting-edge platform to identify and design new multi-specific medicines across a spectrum of therapeutic areas.
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Bachelor's, Masters, or PhD degree preferred in Machine Learning, Robotics, Computer Science, Computer Engineering, Mechanical Engineering, Applied Mathematics, Statistics, or a related field.
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Strong technical credentials in NLP, machine learning and deep learning including a track record of publications in relevant conferences and high impact journals. Data Scientist III (LLM Researcher.
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Good understanding of BA and related automation processes used in the laboratory as well as a broader understanding of the drug discovery process and DMPK function will be preferred. He/she will be contributing towards in vitro / in vivo and biomarker quantitation studies along the drug discovery path using cell-culture, quantitative bioanalysis, lab automation and related lab skills, especially for early-stage programs in the company portfolio.
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Have an understanding of machine learning concepts and techniques, with a desire to further develop ML skills. Demonstrate proven experience in Python and a solid understanding of computer science fundamentals, including object-oriented programming, data structures, algorithm design, problem-solving, and complexity analysis.
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Familiarity with scripting languages for test automation, such as Python or Java. Understanding of data modeling concepts and principles. Verify data integrity and accuracy during the migration process.
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5+ years of experience building data science/machine learning products, particularly for natural language processing (NLP) applications. BluePath Labs is looking for a data scientist to join our multi-disciplinary team of developers and researchers in building cutting-edge data science (DS) and machine learning (ML) solutions supporting national security, research and development (R&D), energy, and other critical sectors.
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SPS is an award-winning employer of choice offering outsourcing solutions that leverage Intelligent Automation (Artificial Intelligence & Robotic Process Automation) in more than 22 countries across the globe.
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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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machine learning data management robotic process automation jobs Title: director in Cambridge, MA
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