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Direct, hands-on experience with mass spectrometry data workflows through multiple commercial and/or open-source peptide sequence search engines. Associate Director/Principal Scientist – Mass Spec based proteomics/chemical biology.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Job DescriptionWe are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Design and execute in vitro and in vivo research plans to deliver high quality data-driven package and enable project decisions. Ability to lead a project and plan ahead, be well organized and effectively use resources to execute experiments and deliver high quality data in a timely fashion.
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Experience with at least one open-source high-end development environment such as PyTorch or TensorFlow. We are seeking a highly motivated machine learning scientist to join the Chemical Data Science team.
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The Alloy Global Bioanalytics group provides bioanalytical support to all Alloy activities, including assay development, quality control and high-throughput characterization of antibodies, TCRs, TCR mimics and.
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Support assay development, quality control and data handling by CROs. Collaborate effectively with internal colleagues and effectively communicate data and ideas to team members. Position Summary We are seeking an Senior Scientist, Discovery who will report to our Senior Director, Discovery Biology.
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Interpretation of analytical data (HPLC, LCMS) to enable improved purity and yields of in-house synthesized oligonucleotides. Troubleshoot and optimize synthesis methods to produce high quality oligonucleotides of various lengths.
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We are seeking a highly collaborative Principal Scientist- Data Science to join our Data Science team as a part of our new Regeneron Cell Medicine (RCM) group. In order to be considered for this role , you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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Utilize extensive knowledge of polymer chemistry principles for materials selection/management, formulation processes to enhance the scalability and quality of the lens material. Serve as the technical lead and core team member on projects and interact with global clinical, manufacturing, production, quality, regulatory, project management, legal, claims and strategy and marketing personnel.
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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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If you are a highly curious formulation expert looking to shape a rapidly growing industry, we want you as a Senior Materials Scientist. Senior Materials Scientist. Solid understanding in polymer physics and polymer chemistry; expertise in formulating a wide range of high-performance materials: acrylate, urethane, epoxy, silicone, rubbers, or plastics.
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Independently and collaboratively identify and deliver high quality drug candidates based on protein/peptide conjugation. Principal Scientist, Analytics 2027196. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package.
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Job Overview : The successful candidate will provide deep expertise in protein and peptide bioanalysis to support the advancement of projects across multiple drug discovery programs. Identify and implement new technologies for de novo peptide sequencing.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. This position is open to anyone looking for short-term, work at home, part-time or full-time job.
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Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture designAbility to align AI/ML initiatives with broader business goals and outcomes, understanding how AI can drive value and competitive advantage.
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