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职位预算: USD 38,000-42,000
发布时间:
Position Summary 职位概述 The Research Engineer will contribute to the research, design, and development of AI-enabled scientific computing platforms supporting computational drug discovery and biomedical research. The successful candidate will work closely with multidisciplinary teams of scientists and engineers to develop innovative computational tools, optimize data processing workflows, and support research initiatives through advanced software engineering and artificial intelligence technologies. 研究工程师将参与人工智能赋能的科学计算平台的研究、设计和开发，这些平台将支持计算药物发 现和生物医学研究。成功的候选人将与由科学家和工程师组成的多学科团队紧密合作，开发创新的 计算工具，优化数据处理工作流程，并通过先进的软件工程和人工智能技术支持研究项目。 Key Responsibilities 主要职责 Participate in research and development of AI-enabled scientific computing solutions for life science and drug discovery applications. Design, develop, and optimize software tools supporting computational biology, molecular modelling, and data-driven scientific research. Develop scalable data processing pipelines and machine learning workflows for scientific datasets. Implement and optimize algorithms for data analysis, simulation, and computational research. Support the integration of AI, cloud computing, and high-performance computing technologies into PolarisQB's research platform. Collaborate with computational scientists, chemists, biologists, and AI researchers on multidisciplinary R&D projects. Evaluate emerging technologies and contribute to the continuous improvement of research methodologies. Prepare technical documentation, research reports, and supporting materials. Contribute to scientific publications, patent applications, and technology commercialization where appropriate. 参与生命科学和药物发现应用领域人工智能赋能的科学计算解决方案的研发。 设计、开发和优化支持计算生物学、分子建模和数据驱动型科学研究的软件工具。 开发可扩展的数据处理流程和机器学习工作流程，用于处理科学数据集。 实现并优化用于数据分析、模拟和计算研究的算法。 支持将人工智能、云计算和高性能计算技术集成到 PolarisQB 的研究平台中。 与计算科学家、化学家、生物学家和人工智能研究人员合作开展多学科研发项目。 评估新兴技术，并为研究方法的持续改进做出贡献。 为研发项目准备技术文档、研究报告和辅助材料。 在适当情况下，为科学出版物、专利申请和技术商业化做出贡献。 Requirements 要求 Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Computational Science, Engineering, or related disciplines. Experience in software development, scientific computing, artificial intelligence, or machine learning. Strong programming skills in Python or other modern programming languages. Experience with machine learning frameworks, cloud computing, high-performance computing, or distributed computing is an advantage. Experience in data engineering, algorithm development, or scientific software development is preferred. Knowledge of computational biology, bioinformatics, cheminformatics, or life science applications would be an advantage. Strong analytical, problem-solving, and communication skills. Ability to work independently as well as collaboratively within multidisciplinary research teams. 计算机科学、人工智能、软件工程、数据科学、计算科学、工程或相关学科的学士、硕士或博士 学位。 具备软件开发、科学计算、人工智能或机器学习方面的经验。 精通 Python 或其他编程语言。 拥有机器学习框架、云计算、高性能计算或分布式计算方面的经验者优先考虑。 拥有数据工程、算法开发或科学软件开发方面的经验者优先考虑。 了解计算生物学、生物信息学、化学信息学或生命科学应用者优先考虑。 具备较强的分析、解决问题和沟通能力。 能够独立工作，也能与多学科研究团队协作。