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Seeking a VP with expertise in computational chemistry and data science, ready to enhance and expand a state-of-the-art computational platform. Oversee the growth and management of the computational chemistry and data science teams, fostering a cohesive environment across US and China operations.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata® development which enables insight generation.
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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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As part of the Capgemini Invent team, the Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization. 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD.
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As a staff engineer, you will partner closely with our data science, product partners, and other ML + data engineers on the team to execute on these opportunities in order to improve the Host and Guest product experience on Airbnb.
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4+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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At least 5 years building analytical/data driven products in an industry setting developing and deploying machine learning and NLP-based solutions. MSc. or PhD. in computer science, statistics, computational linguistics, or related fields.
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Completed a Bachelor’s and/or Master’s degree related to Computer Science, Statistics or related major studying AI (artificial intelligence), ML (machine learning), NLP (natural language processing), Data Science or Mathematics.
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Computer Skills: Knowledge working with a safety database for retrieval of safety information; Intermediate knowledge of MedDRA; Advanced application capability with Excel, PowerPoint, and Word. Familiarity with data mining tools and exploratory analyses tools such as Spotfire.
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OR A Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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To stay ahead of the curve, the UCSF Helen Diller Family Comprehensive Cancer Center (HDFCCC) and the Bakar Computational Health Sciences Institute (BCHSI) have jointly launched the Center for Cancer Data Science (CCDS.
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Are you a seasoned Machine Learning researcher with a deep passion for Natural Language Processing (NLP) and Large Language Models (LLM)? As a Senior Machine Learning Researcher, you will be at the forefront of driving innovation in NLP, LLM and associated technologies at our company.
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