About Xebia With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 5,500+ professionals working on a worldwide ambition. We are organized in complementary service lines – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming, Intelligent Automation, and Microsoft. We help the world’s top 250+ companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. For more details, please visit Role overview: We’re seeking a Senior Product Manager to lead omics and bioinformatics product transformation in life sciences. You’ll manage software products that empower bioinformaticians, computational biologists, and genomics researchers, covering genomics, proteomics, multi-omics integration, single-cell analysis, and advanced data visualization. Your work will help scientists process massive datasets, gain biological insights, and accelerate discoveries . What You’ll Do: Modernize legacy bioinformatics tools into scalable, cloud-native platforms Translate complex scientific workflows (WGS, RNA-seq, proteomics, multi-omics) into actionable product requirements Partner with bioinformaticians, computational biologists, and life sciences researchers Lead product development from requirements through delivery, ensuring scientific accuracy, performance, and usability Engage stakeholders, map priorities, and drive product strategy Requirements: Strong business analysis, stakeholder management, and requirements documentation skills Agile product development experience; proficient with Jira/Confluence Deep expertise in bioinformatics, genomics, proteomics, single-cell analysis, multi-omics integration, and data visualization Ability to bridge science and technology, translating complex research needs into scalable solutions Preferred: Advanced degree (Master’s/PhD) in Bioinformatics or related field Hands-on experience with cloud platforms, large-scale data pipelines, HPC, and batch processing Familiarity with GenAI/Agentic AI applications in bioinformatics Experience in regulated or pharmaceutical environments Drive innovation at the intersection of life sciences and technology , enabling researchers to extract meaningful insights from complex biological data.