YOUR JOB?

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.
We are looking for a Product Owner to lead the development of innovative software products supporting Scientific Workflow Engineering in bioinformatics. This includes multi-omic technologies such as Next-Generation Sequencing (NGS), proteomics, and digital pathology advanced machine learning-based (ML Ops) workflows, including generative AI for protein design, protein folding, and structural chemistry.
As the Product Owner, you will be responsible for collaborating with scientists and technical stakeholders, managing the full product lifecycle from gathering requirements to product delivery and continuous improvement. You will work closely with a dedicated scrum team composed of data engineers and full-stack platform engineers to deliver high-impact digital products that empower cutting-edge scientific research and innovation.

KEY FUNCTIONAL REQUIREMENTS & QUALIFICATIONS:

• Master’s degree in computer science, bioinformatics, data science, or a related scientific field. Ph.D. or equivalent experience in relevant scientific domains is a plus.
• 5+ years in product management, preferably with experience in bioinformatics, life sciences, or AI/ML platforms.
• Experience leading product development in scientific environments, particularly in areas like NGS, proteomics, genomics, or bioinformatics.
• Familiarity with cloud environments such as AWS to build and deploy scientific and AI/ML workflows.
• Strong understanding of bioinformatics workflows, particularly across a broad range of common workflow languages (e.g. Nextflow, Snakemake, etc.).
• Hands-on experience with tools including Qiagen ArrayStudio/Lands, Ingenuity Pathway Analysis, or Bioturing.
• Proven experience managing CI/CD pipelines, specifically using GitHub Actions, to automate deployment, upgrades, and maintenance of third-party applications.
• Strong drive and ability to articulate product vision and align teams around shared goals.
• Excellent communication, presentation, and collaboration skills, particularly with scientists, engineers, and executive stakeholders.
• Proven ability to make strategic decisions, overcome roadblocks, and deliver results in a fast-paced, complex environment.
• Leadership skills to inspire and guide both technical and non-technical teams toward successful product delivery.

KEY TECHNICAL REQUIREMENTS & QUALIFICATIONS:

• Solid knowledge of Agile methodologies, including experience working in Scrum teams.
• Familiarity with bioinformatics tools and ML frameworks for scientific applications.
• Familiarity with product management tools and frameworks, such as Jira, Confluence, Miro, and related.
• Strong understanding of UX/UI, application design, and data engineering principles.
• Experience with cloud platforms, AI platforms, and data pipelines is a plus.

Please refer the Job description for details