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求职招聘

(高级)数据科学家/人工智能专家(20-40k)

上海 / 面议

/ 硕士

职位申请
职责&要求

公司简介:
药明康德集团是国际领先的开放式能力与技术平台公司,为全球制药及医疗器械等领域提供从药物发现、开发到市场化的全方位一体化的实验室研发和生产服务。本着以研究为首任,以客户为中心的宗旨,公司通过高性价比、高效率的服务平台帮助全球客户缩短药物及医疗器械研发周期、降低研发成本。药明康德集团平台涵括小分子药物研发及生产、细胞疗法与基因疗法研发生产、医疗器械测试平台,正承载着来自全球30多个国家的3000多家创新合作伙伴的数千个研发创新项目,致力于将最新和最好的医药和健康产品带给全球病患,实现“让天下没有难做的药,难治的病”的梦想。

岗位职责:
1 Provide data analysis and up-to-date research in AI technologies for real-world applications;
2 Formulate big data and AI problems, design and build pipelines to meet various business needs in a real-world setting;
3 Perform real-world (big) data analysis using machine learning and AI methods with specialization in one of the following areas:
•Data science: data cleansing, transformation and normalization, association analysis, data mining (prediction, classification), time series analysis, workflow optimization, visual analytics (business intelligence);
•AI/Machine Learning: supervised/unsupervised/reinforcement (MCTS)/transferred learning, deep learning (cNN, rNN, LSTM, GAN), AI applications in automation
•Natural Language Processing (NLP): machine translation, semantic analysis, content digest, text mining, knowledge graphs, interactive/visual NLP systems;
4 Take ownership and complete big data & AI projects with business partners, coordinate with engineers, and IT to make scalable big data and AI deployment;
5 Analyze and share cutting-edge big data and AI technologies related to businesses, promote big data & AI results and best practices across businesses
任职要求:
1 Master/PhD in STEM or related areas (data science, AI, machine learning, operational research, biomedical engineering, biostatistics) with (preferably industrial) experience in data analysis;
2 Excellent problem analysis and solving skills with outstanding communication and teamwork capability, good sense of data and outstanding research capability;
3 Hands-on experience in real-world data analysis applications with competency of building practical data analytics pipelines with result visualization (using Python, R, Java, NoSQL, etc.), and knowledge in (deep) learning frameworks (Tensorflow, Pytorch, Spark, AutoML, RapidMiner, Weka, etc.) preferably hands-on experience;
4 Experience in visual analytics (D3, AngularJS, processing, Silverlight, etc.) and business intelligence tools (Tableau, Qlik view, Sisense, MS BI, etc.) is a plus;
5 Knowledge in operation analytics, optimization in pharmaceutical and clinical domains is preferred;
6 Familiarity with clinical informatics & analytics, drug development, biology, chemistry and/or genomics is a plus.

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药明康德

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