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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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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.
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Ph. D. in Bioengineering, Biochemistry, Biostatistics, Chemical Engineering, Computer Science, or similar discipline, with 0-5 years of experience and a strong focus on deep learning and/or cell engineering.
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Must have: A Bachelor of Science degree in Electrical/Control Engineering, Mechanical Engineering, Chemical Engineering, or Computer Science 10+ Years Work Experience Ignition & Rockwell Relevant regulatory requirements of the life science industry such as cGMP, 21 CFR Part 11, etc.
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Collaborate effectively with renowned GSK experts in genetics, genomics, computational bio & chem, structural biology and medicinal chemistry, artificial intelligence / machine learning, and digital technologies to build the datasets, tools, models, and infrastructure necessary for oligo design & development.
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Hands-on experience with machine learning (including deep learning), and one or more of the following technical areas: computer vision and image processing, multi-modal large language models, speaker identification/verification technologies.
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A Bachelor’s degree in a Computer Science or related field, discipline with 8+ years of experience, or an MS degree with 5+ years of experience. Familiarity with Image and Video Processing, including experience with GPU architectures / programming (CUDA, OpenCV, OpenGL or OpenCL.
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Engineering Mechanics and Infrastructure (EMI) applies engineering mechanics, materials science, numerical simulation, innovative technologies, and collective expertise to solve our clients' toughest problems in an inspiring work environment that nurtures life-long learning and growth.
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As a subject matter expert (SME), this position will be responsible for manufacturing science efforts supporting TScan's internal and external technology transfers and manufacturing process.
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Experience: 1-2 years of experience in a Central Sterile Processing environment. Under the general guidance and direction of the CSP Operations Supervisor, Sterile Processing Lead Technician, the Sterile Processing Technician 2 utilizes certified-level skill sets to enact Sterile Processing functions as directed.
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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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Perform cell culture, prepare cell slides or/and tissue sections, carry out immunofluorescence staining, microscopy, image processing, protein pull-down, protein measurement, and purification.
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2+ years of experience in a laboratory setting (biotechnology, pharmaceutical research, academic science, or medical technology science preferred) or EHS related work experience. As former scientists with a continual passion for learning, our consultants understand what EHS policies and procedures can mean to experiments, timelines, and new products and procedures.
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6+ years of industry experience in drug R&D in pharma/biotech or life science-related industries with past experience involving both technical and strategic leadership High proficiency in developing and/or implementing AI/ML models in Python and R, particularly generative protein design, knowledge graphs and semantic modeling and inference, supervised/unsupervised learning, and LLMs. Experience with ML frameworks for deep learning (, tensorflow, keras, MXNet) & cloud platforms.
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Coordinate key research and development teams within BCS to ensure steady process of transfer of advanced technology research (artificial intelligence, machine learning, and other) into core product development roadmaps to support transformation to higher value “decision support” solutions.
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machine learning computer science image processing a plus jobs in Lexington, MA
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