About Xebia
With over 20 years of experience, our integral 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.
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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.