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As a member of the Clinical Data Science Leadership Team, the Executive Director, Data Science is accountable for Development’s machine learning and artificial intelligence strategy, overseeing the expansion of the industry-leading Advanced Analytics organization to address the growing opportunity for value generation through the application of AI/ML, including large language models (LLMs), across Development.
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Interpret and analyze results of Nucleic Acid QC, Real-time PCR, DNA Sequencing and Fragment Analysis data often where few guidelines exist and make modifications to existing procedures and protocols.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Experience in machine learning (ML) and/or artificial intelligence (AI) data science technologies, including Natural Language Processing (NLP) The Federal Aviation Administration (FAA) NextGen Project Is Working With NASA Ames To Explore Using Modern Data Analytics And Machine Learning (ML) Technologies In Enabling An Info-centric Digital National Airspace System (NAS.
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Keywords: patent attorney, electrical, computer science, software, electrical engineering, patent prosecution attorney, patent opinions, software patents, computer engineering, electronics, telecommunications, patent law, IP associate, patent lawyer, patent counsel, intellectual property attorney.
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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
$296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This connections-first approach powers applications tackling artificial intelligence, fraud detection, real-time recommendations and master data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Spearhead the computational biology and data science team towards achieving critical innovation aligned with Karius' strategic goals. 7+ years of industry experience leading the development of cutting-edge computational and analytical methods aimed at deriving critical or novel insights from advanced molecular data, including but not limited to next-generation sequencing data.
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Founded and led by Dr. Matthew Hill and located in San Carlos, CA, Elegen is well-capitalized by top life science investors, including Andreessen Horowitz, 8VC, and KdT. The company is advised and staffed by leading biotechnology scientists and entrepreneurs, including Dr. Marc Unger, inventor of the Nanoflex™ valve, and former CSO of Fluidigm.
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Synthego is enabling genome engineering at scale with a blend of scientific instrumentation, industrial automation, and data science. Operate complex scientific instrumentation for oligonucleotide synthesis and purification, effectively interpreting LC/MS data.
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The Advanced Analytics team at BeiGene is seeking an Associate Director, Data Science with a passion for crafting and implementing predictive modeling and statistical analyses to develop comprehensive solutions and insights that directly impact patient lives and propel BeiGene's growth as a data-driven organization.
$195,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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You will design and implement high performance AI Training pipeline, data I/O, work with open source teams to identify and resolve issues in popular libraries like Huggingface, Horovod and PyTorch, debug and optimize deep learning training, and provide advanced support for internal AI teams in areas like model parallelism, data parallelism, Zero, automatic mixed precision and kernel fusion.
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Bachelor's degree in computer science, engineering, or a related field / RPA Blue Prism Developer Certification. 3+ experience as an RPA Developer with a focus on Blue Prism. Blue Prism RPA Developer certification required.
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data science jobs Company: Bayada in Menlo Park, CA
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