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województwo mazowieckie, Polska
Onsite
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
Data Scientist Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D
Are you passionate about leveraging cutting-edge artificial intelligence and data science to transform patient care? As a Data Scientist, you will play a pivotal role in leading, developing, and deploying innovative, data-driven solutions to solve complex business problems. You will balance hands-on technical execution with strategic content leadership, building state-of-the-art AI capabilities that directly accelerate healthcare innovation.
At Roche, we offer a hybrid work model that combines flexibility with in-person collaboration. For now, we require our employees to be in our offices on average two days per week. The specific office days may vary depending on business needs, such as workshops, conferences, town halls, team meetings, and other collaborative events.
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.
The Opportunity
End-to-End Solution Ownership: Lead, develop, and deploy data-driven solutions and predictive models from inception to deployment to tackle complex business challenges.
Agentic AI Development: Build specialized AI agents and bespoke multi-agent workflows in a highly regulated GxP environment to support Analytical Data Scientists across the clinical data lifecycle.
Independent Problem Solving: Identify analytical opportunities independently and solve complex data problems, ensuring model accuracy and validation with minimal supervision.
Cross-Functional Collaboration: Engage directly with business units to understand their data requirements and translate analytical findings into actionable insights for both technical and non-technical stakeholders.
Strategic Project Leadership: Drive medium-sized data science projects that directly influence key business decisions and align with broader organizational strategies.
Data Modeling & Optimization: Work with large, complex datasets to build new predictive models from scratch and optimize existing algorithms for maximum performance.
Technical Roadmap Guidance: Frequently contribute to the team’s technical roadmap, balancing hands-on AI/ML development with strategic technical leadership.
Process Automation: Develop innovative tools, such as proactive coding debuggers that parse verbose logs and automatically propose code/configuration fixes for complex clinical programming.
Who you are
Education & Experience: Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related quantitative field, paired with a minimum of 5+ years of professional experience in data science, predictive modeling, and end-to-end deployment.
Project Delivery & Ownership: Proven track record of independently identifying analytical opportunities, leading medium-sized data science projects, and delivering solutions that drive business outcomes.
Programming Proficiency: Advanced proficiency in Python (for AI/ML backends and agent logic) and R (focused on clinical statistical programming and NextGen toolkits like Admiral); familiarity with SAS is preferred.
Generative AI & Agent Frameworks: Hands-on experience building multi-agent architectures using LangChain, LangGraph, AWS AgentCore, and Model Context Protocol (MCP) servers.
Advanced RAG Expertise: In-depth knowledge of LLMOps and advanced Retrieval-Augmented Generation (RAG) methodologies, including chunking strategies, embeddings, and GraphRAG.
Statistical Modeling & Visualization: Strong foundational expertise in advanced statistical methods, machine learning algorithms, and data visualization techniques to support complex data exploration.
Communication & Collaboration: Exceptional communication and interpersonal skills, with a demonstrated ability to convey complex technical concepts clearly to non-technical partners.
Ready to bring your unique qualities to Roche and make an impact? Apply now and join us in our mission to shape the future of healthcare.
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This position also offers an attractive benefits package.
Learn more about how we reward our employees at Roche.
This job is posted in multiple locations. If you're applying for the role in an alternative location where pay transparency regulations apply, the Talent Acquisition Partner will share the local pay information with you ahead of any business interview.A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
