锦鲤求职岗位描述
在罗氏，我们鼓励每位同事展现真实的自己；我们欣赏独特且出众的品质。罗氏的文化鼓励积极的表达、开放的对话和真诚的连结，在这里，你将因为做自己而被重视、接纳和尊重，并得到个人的提升和职业的发展。所有的这一切，都是为了更好地预防、阻止和治愈疾病，并确保医疗资源的可及性和可持续性。欢迎加入罗氏，一个重视每种声音的地方。
职位
JD - China Enterprise Technology Intern
Company: Roche
Organization: China Enterprise Technology (CET)
Location: Shanghai, China
Duration: 3–6 months
Position Summary
Roche is seeking a versatile and highly motivated Enterprise Technology Intern to join our China Enterprise Technology (CET) team. In this hybrid role, you will bridge the gap between technical project management, DevOps engineering, and operations research.
You will be instrumental in driving our infrastructure modernization by coordinating the large-scale migration of over 100 GitLab projects. Simultaneously, you will dive deep into scientific computing by designing a Linear Programming model to optimize GPU resource allocation for our complex, data-heavy scientific workloads (such as bioinformatics and computational chemistry).
Key Responsibilities
1. Project Coordination & Governance
Act as the project coordinator for cross-functional IT, DevOps, and scientific computing teams within CET.
Facilitate project meetings, track milestones, and manage timelines using Agile methodologies.
Maintain clear documentation, track key performance indicators (KPIs), and present progress reports to technical leads and stakeholders.
Identify project bottlenecks and collaborate with team members to resolve blockers efficiently.
2. Large-Scale GitLab Projects Migration
Plan and execute the seamless migration of 100+ GitLab projects into a unified, secure enterprise environment.
Ensure the integrity of source code, commit histories, access controls, and environment variables during the transition.
Update and validate CI/CD pipelines to ensure continuous integration remains uninterrupted post-migration.
Create automated scripts and clear user guides to assist development teams in adapting to the new repository structures.
3. Computing Resource Optimization for Scientific Workloads
Formulate a Linear Programming (LP) model to optimize the scheduling and allocation of Computing resources for intensive scientific workloads (e.g., genomics, drug discovery simulations, and AI/ML modeling).
Analyze compute constraints, job priorities, memory requirements, and runtime patterns to maximize cluster throughput and minimize idle time.
Implement optimization solutions using Python libraries
Deliver data-driven insights and a proof-of-concept scheduling algorithm to improve the cost-efficiency of Roche’s scientific computing infrastructure.
Key Qualifications
Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Maths, Bioinformatics, Data Science, or a related quantitative field.
DevOps & IT Skills: Experience with version control systems (Git) and an understanding of CI/CD pipelines.
Programming & Math: Strong proficiency in Python and a solid foundational knowledge of mathematical optimization and Linear Programming.
Project Management: Familiarity with Agile frameworks and project management tools like Jira, Confluence, or Monday.
Domain Interest: A strong interest in scientific computing, healthcare technology, or bioinformatics infrastructure.
Soft Skills: Excellent problem-solving abilities, strong communication skills, and the capacity to work independently in a dynamic environment.
Languages: Fluent in both Mandarin and English (written and spoken).
What We Offer
Meaningful, hands-on experience at the intersection of enterprise IT, DevOps, and life sciences.
Direct mentorship from experienced architects, DevOps engineers, and data scientists.
Exposure to cutting-edge scientific computing clusters and modern software engineering practices.
A collaborative, inclusive, and purpose-driven work culture dedicated to advancing global healthcare.
我们是谁
打造更健康的未来是促使我们创新的动力。全球超过100,000名员工共同致力于推进科学，确保今天和明天的人们，都能获得高质量的医疗资源。我们的努力帮助了2600多万人使用我们的药物进行治疗，我们的诊断产品运行超过300亿次检测。罗氏通过赋能探索新的可能、激发创造力并保持高标准以提供突破传统的医疗解决方案，对全球的医疗环境带去推动和影响。
让我们一起，构建更健康的未来。
罗氏提供平等的职业发展机会。