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
Job Summary:
As the Applied AI Lead, you will report to the Head of RIS China and will be a member of the RIS China leadership team.
You will lead a high performing team to drive digital research and innovation initiatives, influencing cross-functional teams, fostering a culture of creativity and experimentation, and aligning emerging technologies, particularly AI and innovation efforts with overarching business objectives and strategic priorities.
Collaborate closely with product lifecycle team & engineering team to identify opportunities & synergies for reusability, consolidation, simplification, enhance speed of delivery and ease of scaling through unified technology stacks like China Digital Platform & common infrastructure.
The Opportunity:
Develop and Execute AI & Innovation Strategy: Define the vision, strategy, and actionable roadmaps for innovation, specifically leveraging Artificial Intelligence, to drive new products, services, businessmodels, and reshape existing use cases.
Spearhead AI Prototype Development and Implementation: Manage a team of Applied Scientists responsible for translating & delivering cutting-edge concepts/business hypotheses into real-world prototypes/solutions in order to validate business viability, customer desirability & technology feasibility. Balancing high-risk, high-reward projects with incremental innovations that deliver transformative business values.
Adopt Customer-Centric Development: Focusing on the early phases of UNDERSTAND-IT and EXPLORE-IT. Leverage rapid prototyping approach and leverage on customer insights to quickly identify & validate product desirability.
Implement AI Observability & Reliability: Proactive monitoring, tracking & analyzing model/algo performance, identifying potential biases, and detecting data and model drift, ensuring the AI system functions reliably and fairly during PILOT-IT & SCALE-IT phases.
Ensure Responsible AI, Governance, and IP: Champion ethical AI practices, ensuring responsible development, fairness, and safety. Setup and develop efficient operational and development best practices, potentially following agile and DevOps principles, while adhering to relevant security, governance, and compliance standards. Manage risks associated with AI initiatives & emerging technologies.
Collaborate Cross-Functionally and Stakeholders Management: Collaborate and co-innovate with key stakeholders and external & internal partners to showcase & emphasis on Roche ability to leverage on cutting edge technologies for scientific use cases in the increasingly competitive and evolving personalized healthcare landscape.
Collaborate closely with the engineering team to develop and implement a common Roche China platform and championing reusable services to accelerate digital product delivery, increase implementation efficiency and drive scaling across Roche China install bases.
Analyze digital healthcare market, competitors, and technology trends: Thorough market research and competitive analysis to identify emerging trends, opportunities, threats, and refine the innovation agenda. Continuously maintain awareness of new technologies, industry developments, and research publications.
Lead and develop High-Performing Teams: Build, lead, manage, mentor, and grow a multidisciplinary team of Applied scientists and innovation professionals and foster a collaborative, inclusive, and continuous learning environment.
Who you are:
Master's or Ph.D. in Medicine, Computer Science, Data Science, Artificial Intelligence, Biomedical Engineering or a related health science fields (such as M.D. or Ph.D. in Medicine, Clinical Informatics, or Life Sciences). quantitative field.
Solid foundational grounding in both quantitative methods (mathematical modeling, machine learning) and scientific/clinical principles.
10+ years of experience of practical experience in applying machine learning, deep learning, or statistical modeling to complex clinical or life science challenges.
Demonstrated track record of taking AI/ML concepts from laboratory proof-of-concept to real-world clinical or operational validation.
Fluent in contemporary Digital technologies and platforms, including UX, APIs, MicroServices, AI and Machine Learning (Generative AI, RAG, AI Agents, MCP, etc), Analytics, XaaS, etc.
Hands-on experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow) and relevant programming languages (e.g., Python, R, Java, JavaScript)
Familiarity with Design Thinking, Prototyping methods and agile methodology
Experience working with complex healthcare datasets, such as Electronic Health Records (EHR/EMR), medical imaging, digital pathology, or multi-modal diagnostic data. Familiarity with clinical data formats and systems (HL7, FHIR, OMOP, LIS, EMR) is highly preferred.
Awareness of the Healthcare industry and its activities, with experience of leading digital product management teams. Previous experience in managing areas relevant to Digital Healthcare will be highly desired.
Highly developed leadership and people influencing skills: Demonstrating a clear commitment to people development and effective mentoring; promoting a culture of trust and support. Demonstrated success in establishing a high performing environment.
Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results
Innovative, detail-oriented, and effective in stressful and challenging environments.
Problem-Solving and Resilience to tackle roadblocks and adapt to uncertainty
Fluent in both speaking and writing English and Mandarin.
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。