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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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Extensive experience (7+ years) in software engineering, with a focus on AI and machine learning. We are seeking a skilled Principal Software Engineer to join our dynamic team of experts in developing cutting-edge machine learning systems for real-world applications.
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sage maker, Snowflake Cortex etc. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location.
$95 an hourExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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Principal Scientist, Protein Analytics & Biophysics-Target Binding Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered.
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Proven hands-on experience with cell-based and molecular biology assays such as: cell viability/cytotoxicity, flow cytometry, mRNA expression analysis (qPCR/ddPCR/RNseq), western blotting, ELISA among others.
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Lead the design, development, and delivery of AI and Machine Learning solutions focused on NLP, ML and Robotic Process Automation, ensuring the adoption of cutting-edge techniques and technologies, using pertinent AWS, Google and other cloud technologies.
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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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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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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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Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
$55 an hourFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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O Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
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Programming, FPGA programming, digital design, digital signal processing, image processing, data analysis or artificial intelligence / machine learning. The successful candidate will be pursuing an undergraduate degree in Electrical Engineering, Computer Science, Mathematics, Physics or a related field with hands-on experience in one or more of the following areas: software development, graphical user interface development, real time software, MATLAB or C.
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machine learning hands on jobs Company: Birlasoft in Lexington, MA
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