Sanofi · 1 day ago
Product Owner for ML Interface Solutions
Cambridge, MA
Full-time
Onsite
Senior Level
$113K/yr - $189K/yr
5+ years expSanofi is an R&D-driven, AI-powered biopharma company committed to improving people’s lives. As the Product Owner for ML Interface Solutions, you will bridge the gap between AI/ML models and scientists by creating user-friendly interfaces that enhance the accessibility of complex ML tool outputs for Large Molecule Research scientists.
Health CareLife SciencePharmaceuticalTherapeutics
Responsibilities
Own and prioritize the product roadmap and backlog for ML interface solutions serving LMR scientists
Partner with data scientists and ML engineers to deeply understand model outputs, capabilities, and limitations to effectively support scientists on decision making
Design and deliver intuitive front-end interfaces that make ML predictions accessible, interpretable, and actionable for bench scientists
Define detailed user stories, acceptance criteria, and success metrics for interface features based on scientific workflows
Lead agile development with UX/UI designers, front-end developers, and data engineers to deliver iterative improvements
Establish frequent touchpoints with software development and MLOps teams to validate technical requirements and architectural elements necessary for optimal performance of ML solutions
Ensure interfaces properly communicate model uncertainty, confidence levels, and appropriate scientific context
Balance new feature development with technical debt and user feedback
Conduct comprehensive user research with LMR scientists to understand their workflows, pain points, data and interface needs
Champion user-centered design principles throughout the product lifecycle
Lead usability testing sessions and gather continuous feedback from scientist users
Create compelling data visualizations that make complex ML predictions interpretable and scientifically meaningful
Drive product adoption through targeted training, comprehensive documentation, and effective change management
Ensure interfaces are scientifically rigorous while remaining intuitive for users with varying computational backgrounds
Monitor usage metrics and user satisfaction to continuously guide product improvements
Develop onboarding materials and user guides that accelerate scientist proficiency with ML tools
Build strong partnerships with LMR scientists to deeply understand biologics discovery workflows and research challenges
Collaborate closely with ML/AI teams to stay current on model capabilities, new algorithms, and technical constraints
Work with UX/UI designers to create visually compelling and scientifically accurate interfaces
Coordinate with the Product Line Owner on portfolio strategy, prioritization, and resource allocation
Communicate product progress, value delivered, and adoption metrics to stakeholders and leadership
Facilitate co-creation workshops and requirements gathering sessions
Manage expectations and negotiate trade-offs between user desires and technical feasibility
Serve as the translator between technical ML capabilities and scientific user needs, ensuring both perspectives are represented
Ensure ML model outputs are presented with appropriate scientific context, limitations, and uncertainty quantification
Collaborate with data engineers to ensure robust data pipelines and APIs support seamless user experiences
Advocate for backend improvements (API design, data structures, model outputs) that enable better front-end experiences
Stay current on best practices in scientific data visualization and interface design for computational biology
Understand the technical architecture sufficiently to make informed product decisions and identify integration opportunities
Work with scientific informatics teams to ensure proper integration with existing LMR tools and databases
Qualification
Required
Bachelor Degree required with significant industry experience in computational biology (antibody discovery, protein design, large molecules or related topic)
5+ years of experience in product management and translating business requirements to technical specifications
Proven track record in collaborating with data scientists and developers in a scientific environment
Experience delivering digital products with intuitive, user-friendly interfaces and effective data visualizations
Solid understanding of biologics discovery workflows and antibody/protein engineering challenges
Strong ability to translate complex concepts into intuitive user experiences and compelling visualizations
Solid experience with agile product development methodologies (Scrum, Kanban) and working in cross-functional teams
Familiarity with ML/AI applications in drug discovery, with ability to understand and interpret model outputs
Change management skills to drive adoption of new tools and workflows
Experience with product management, ideation and design platforms tools such as Figma, Miro, JIRA, or similar
Ability to balance competing priorities and make data-driven decisions about feature prioritization
Curiosity about emerging technologies in AI/ML and scientific computing
Preferred
MS or PhD preferred
Background in both wet-lab biology and computational/data science
Knowledge of regulatory considerations for AI/ML tools in drug discovery
Understanding of API integration, data pipeline concepts, and how backend architecture impacts user experience
Track record of driving measurable improvements in user adoption and satisfaction
Portfolio demonstrating successful scientific interface or visualization projects
Experience with design thinking methodologies and facilitation
Benefits
High-quality healthcare
Prevention and wellness programs
At least 14 weeks’ gender-neutral parental leave
Company
Sanofi
Sanofi is a global biopharma company focused on prescription drugs, vaccines, and treatments for chronic, rare, and infectious diseases.
10001+ employees
H1B Sponsorship
Sanofi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (101)
2024 (68)
2023 (59)
2022 (78)
2021 (38)
2020 (38)
Funding
Current Stage
Public CompanyTotal Funding
$6.97BKey Investors
Blackstone Life SciencesEvotec
2025-10-28Post Ipo Debt· $3B
2025-06-17Post Ipo Debt· $1.74B
2025-03-05Post Ipo Debt· $1.59B
Leadership Team
Paul Hudson
Chief Executive Officer
Francois-Xavier Roger
Chief Financial Officer
Recent News
2026-01-03
2026-01-03
Boston Globe
2026-01-03
Company data provided by crunchbase