罗氏促进多元化、公平性和包容性，代表我们所服务的社区。在全球范围内处理医疗保健问题时，多元化是成功的关键因素。我们认为，包容性是理解人们不同医疗保健需求的关键。我们共同拥抱个性，共同抱持对卓越护理的热情。加入罗氏，每个声音都会得到重视。 职位 Main Tasks & Responsibilities: * Evaluating current machine learning or AI approaches related to biomarker identification; * Collecting and integrating the high-throughput multi-omics data for disease and drug response; * Working with the Bioinfo and AI teams to implement or develop ML/AI approaches with integration of multi-omics data to identify biomarkers relevant to drug response and diseases (e.g. cancers or autoimmune diseases). Basic Requirements of the Job: Education & Qualifications: * Educational background in Bioinformatics, Computational Biology, Computer Science and related fields. * Currently enrolled in an accredited college or university (Master’s level or higher preferred). Experience: * Hands-on experience with machine learning or AI is required. * Familiarity with genomics, transcriptomics, proteomics, and other high-throughput sequencing technologies is required. * Prior experience with omics data analysis is a plus. Professional Competencies/skills: * Proficient in Python or R and familiar with Linux working environment. * Fluent in English. 我们是谁 在罗氏，来自100个国家的100，000名员工不断推动着健康医疗行业的进步。我们一同工作，使罗氏成为了世界领先的以研发为基础的健康医疗集团。我们的成功源于创新、求知和多元化，也源于我们把相互间的差异作为一种优势。为了革新医疗健康领域，罗氏设定了远大的计划，坚持学习和发展，并不断寻找与之志同道合的伙伴。 罗氏提供平等的职业发展机会。