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 description The Senior IT Data Scientist is responsible for leading, developing, and implementing data-driven solutions to complex business problems. This role involves independently identifying analytical opportunities, conducting in-depth data exploration and analysis, and building, testing, and deploying predictive models using various machine learning techniques. You will contribute to projects from inception to deployment, leveraging strong programming, statistical modeling, and data visualization skills, while clearly communicating findings to both technical and non-technical stakeholders. Operating in a highly regulated GxP environment, you will build specialized AI agents that assist Analytical Data Scientists across the clinical data lifecycle. This requires deep expertise in advanced generative AI, multi-agent architectures (e.g., LangGraph), Graph-based Retrieval-Augmented Generation (GraphRAG), and LLMOps. You will balance hands-on technical work with leadership responsibilities, frequently contributing to the team's technical roadmap. Description of the area The Clinical Submission Data and Content Generation & Reuse function focuses on modernizing the creation and management of clinical data and regulatory submission assets (data and content). It develops and deploys platforms for structured content management, enabling the reuse of approved components across documents. This group also pioneers the use of agentic AI to assist in generating, reviewing, and assembling complex submission assets (data and content), aiming to improve quality and reduce authoring timelines. Job Responsibilities • Scope / (Content Leadership): Leads the development and deployment of models. Works independently on specific data science projects from start to finish. • Accountability/Problem Solving: Identifies and solves intermediate to complex data problems. Validates models and ensures their accuracy with minimal supervision.Tackles complex clinical programming challenges by developing bespoke multi-agent workflows. Examples include building proactive coding debuggers that parse verbose logs, classify errors, and automatically propose code/configuration fixes. • Stakeholder Management: Engages with broader business units to clearly understand and meet their data needs. Presents analytical findings and insights to various stakeholders, including non-technical audiences. • Impact/Strategy: Drives medium-sized projects that directly influence business decisions. Ensures that projects are closely aligned with broader business objectives and strategies. • Complexity / (Product Size): Handles larger, more complex datasets. Develops new predictive models from scratch and optimizes existing ones to improve performance. • Business / Technical ability: Applies proficiency in multiple programming languages and advanced data manipulation techniques. Leverages a strong knowledge of advanced statistical methods and machine learning algorithms to address business questions. Qualifications Education / Experience • Demonstrated experience in independently identifying analytical opportunities, conducting in-depth data exploration, and owning projects from inception to deployment. • Proven track record of driving medium-sized projects that influence business decisions and align with strategic objectives. Technical Skills • Proficient in multiple programming languages and advanced data manipulation; expertise in Python (for AI/ML backend/agent logic) and R (heavy focus on clinical statistical programming, NextGen toolkits like Admiral). Familiarity with SAS is a plus. • Hands-on capability with LangChain, LangGraph, AWS AgentCore, and Model Context Protocol (MCP) servers. Expertise in advanced RAG methodologies, including chunking strategies, embeddings, and GraphRAG. • Strong data visualization and statistical modeling skills to support comprehensive data analysis. Additional Qualifications • Exceptional communication skills, with the ability to present complex findings clearly to various stakeholders, including non-technical audiences. • Strong collaborative capabilities to effectively engage with broader business units to understand and meet data needs. Shift: CET time zone #Hyderabad2026 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。