{"id":1110189,"date":"2024-12-05T23:57:33","date_gmt":"2024-12-06T07:57:33","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-job-opportunity&#038;p=1110189"},"modified":"2024-12-06T00:35:02","modified_gmt":"2024-12-06T08:35:02","slug":"intern-microsoft-research-ai-for-science-bioinformatics-analysis","status":"publish","type":"msr-job-opportunity","link":"https:\/\/www.microsoft.com\/en-us\/research\/opportunity\/intern-microsoft-research-ai-for-science-bioinformatics-analysis\/","title":{"rendered":"Intern &#8211; Microsoft Research AI for Science (Bioinformatics Analysis)"},"content":{"rendered":"<p><strong>Position<\/strong>: Intern &#8211; Microsoft Research AI for Science\u00a0(Bioinformatics Analysis)<\/p>\n<p><strong>Location<\/strong>: Beijing<\/p>\n<p><strong>Research Area: <\/strong>Machine Learning<\/p>\n<p><strong>Team Introduction:<\/strong><\/p>\n<p>Microsoft Research AI for Science was founded in 2022, with a mission to drive new fundamental research advancements at the intersection of artificial intelligence and natural sciences. The goal is to transform the way humanity understands and shapes the world, while bringing disruptive innovations to industries such as pharmaceuticals, chemicals, materials, and energy. As a rapidly growing global team, the team have members located in China, the UK, the US, the Netherlands, and Germany, it encompasses world-class experts from diverse disciplines such as machine learning, computational physics, computational chemistry, molecular biology, software engineering, and others.<\/p>\n<p><strong>Job Responsibilities<\/strong>:<\/p>\n<ul>\n<li>Participate in interdisciplinary research projects involving machine learning and natural sciences.<\/li>\n<li>Develop evaluation criteria for machine learning models.<\/li>\n<li>Construct data for scientific research problems.<\/li>\n<\/ul>\n<p><strong>Requirements<\/strong>:<\/p>\n<ul>\n<li>Solid background knowledge in one of the following fields: bioinformatics, biology, drug development, protein, DNA\/RNA. Any one of these areas is acceptable (candidates with a bachelor&#8217;s, master&#8217;s, or PhD degree are welcome).<\/li>\n<li>Proficiency in Python and commonly used packages.<\/li>\n<li>Familiarity with quantitative analysis tools in the field.<\/li>\n<li>Strong problem-solving, teamwork, and communication skills.<\/li>\n<\/ul>\n<p><strong>Preferred Qualifications<\/strong>:<\/p>\n<ul>\n<li>Ability to modify code and add functionalities to scientific software.<\/li>\n<li>Familiarity with molecular docking, FEP, molecular dynamics simulations, and experience in drug development.<\/li>\n<li>Publication experience or participation in ACM or other programming competitions.<\/li>\n<li>Knowledge of and experience with common deep learning models, such as GNN-based and Transformer-based models<\/li>\n<\/ul>\n<p>Able to obtain supervisor&#8217;s permission and commit to a full-time internship for at least six months. Immediate availability is preferred.<\/p>\n<p>Interested candidates should send their resume to <a href=\"mailto:aiforscienceasia@microsoft.com\">aiforscienceasia@microsoft.com<\/a>. The subject line should include &#8220;Intern + [Research Area] + [Name] + [School] + [Year] + [Major].&#8221; Full-time opportunities are also welcome for inquiries.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>\u5c97\u4f4d\uff1a\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3 \u5b9e\u4e60\u751f \uff08\u751f\u4fe1\u5206\u6790\uff09<\/strong><\/p>\n<p><strong>\u5730\u70b9\uff1a\u5317\u4eac<\/strong><\/p>\n<p><strong>\u7814\u7a76\u65b9\u5411\uff1a\u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<p><strong>\u56e2\u961f\u4ecb\u7ecd\uff1a<\/strong><\/p>\n<p>\u5fae\u8f6f\u7814\u7a76\u9662\u79d1\u5b66\u667a\u80fd\u4e2d\u5fc3\uff08Microsoft Research AI for 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