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罗氏制药中国

StartUp China - Dia Digital & AI

  • 社招
  • 上海
  • 硕士及以上
  • 人工智能
  • 发布于 2026-09-17
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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

Join the StartUp Roche Diagnostics China Development Program and embark on an accelerated career path designed for future leaders. We are seeking individuals with High Personal Drive, High Potential, and High Mobility, who have no more than 3 years of professional experience in the healthcare industry.

As a Trainee, you will have a unique opportunity to gain a global view of Roche's business landscape, breadth of experience across the value chain in Roche Diagnostics China, and depth of knowledge in the specific function, given the China In Vitro Diagnostic (IVD) market dynamics. This program will empower you to shape the company by making significant contributions to our purpose: "Doing now what patients need next."

The program includes the following development journeys: 1) Commercial and 2) Digital & AI. Over the two-year duration, you will complete up to four rotations, each with tailored goals and plans. Please apply for the development journey that best matches your educational background and career interests.

As a Trainee of the program, you will be expected to:

Complete tasks and learning objectives for each rotation as defined by the program framework;

Proactively leverage your expertise and business knowledge to deliver patient- and customer-centric outcomes;

Connect ideas and resources to generate value, prioritize investments, and make strategic trade-off decisions;

Take responsibility for your continuous growth, ensuring your skills and capabilities align with both your passion and organizational needs;

Maintain a high degree of flexibility for potential relocation assignments and business travel.

In the Digital & AI development journey, you will be expected to:

Research & Pilot AI Solutions: Evaluate emerging AI tools and platforms relevant to commercial applications; test and pilot solutions before broader rollout with IT partners

Enable Data-Driven Decision Making: Work across commercial functions to identify patterns, inefficiencies, and opportunities in data; create dashboards and insights for different stakeholders

Develop Business Cases: Create ROI analyses and business cases for AI initiatives; demonstrate commercial value and feasibility

Support to upgrade Internal Capability: Create simple guides and training materials explaining AI tools to non-technical users; support adoption and change management

Bridge Technical & Business Teams: Act as translator between IT/technical teams and commercial departments; communicate trade-offs and possibilities clearly

Identify Process Improvement Opportunities: Work with different functions to spot inefficiencies that could benefit from AI/automation; prototype solutions using low-code/no-code platforms

Document & Share Learnings: Capture insights, best practices, and lessons from pilots; share across functions to accelerate organizational learning

Required Competencies & Background

Education: Master's degree or higher in Business, Economics, Marketing, Finance, Supply Chain, STEM (Physics, Mathematics, Engineering, Chemistry, Biology), or related fields; non-Computer Science background with business exposure equally welcomed.

Technical Foundation: Proficiency in at least one BI tool (Tableau, Power BI, Looker); hands-on use of GenAI tools (ChatGPT, Claude, Copilot, and local AI algorithm); basic understanding of AI/ML concepts; Python or SQL experience a plus but not required.

Work Experience: 0-3 years of experience with internships or projects in data analytics, business intelligence, marketing analytics, pricing, operations, or other commercial roles.

Self-Directed Learning: Demonstrated ability to learn independently through online certifications (Google AI Essentials, Coursera ML, DataCamp, bootcamps) or self-taught projects.

Communication & Collaboration: Ability to explain complex concepts clearly to diverse audiences; works effectively across functions and respects diverse perspectives; fully fluent in both written and spoken English and Chinese.

Curiosity & Problem-Solving Mindset: Genuinely curious about business impact and how to apply AI to real problems; proactively identifies opportunities and is comfortable with ambiguity.

Adaptability & Resilience: Flexible when priorities change, learns from feedback and setbacks, and embraces continuous learning in a rapidly evolving AI landscape.

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。

人工智能方向的申请准备

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