Product Manager, Digital for Research and Tech Dev

Moderna is a biopharmaceutical company developing mRNA technology and medicines. The Product Manager will partner with Research and Technical Development scientists to translate scientific workflows into scalable applications and digital platforms, including Benchling and AI-enabled tools. The role owns requirements, backlog prioritization, integrations, testing, rollout, adoption, and continuous improvement in collaboration with software developers and governance teams.

Responsibilities:

• Partner with scientific teams to understand their software-related use cases and with internal software development teams to best support their business needs
• Capture user requirements and present them for manager review and approval, ensuring balance between team needs, shared platform standards and long-term scalability
• Leverage knowledge of R&D scientific software systems to propose potential approaches during requirements gathering
• Lead requirements gathering and design workshops, translating scientific workflows into data models, development-ready user stories, and release documentation
• Manage and prioritize the product backlog, balancing scientific needs, business value, and technical constraints
• Analyze and translate end-to-end business data processes - from internal ordering & request systems to bespoke RNA/DNA production workflows
• Partner with governance teams to establish and enforce platform standards, data models, and best practices to ensure consistency, scalability, and reuse across teams
• Define and drive integration strategies across internal systems to enable seamless data flow, interoperability, and consistent user experiences across platforms
• Collaborate with software developers to hand off requirements, review and validate delivered configurations, and drive iterative refinement through demos and user workshops
• Develop test plans, guide UAT execution, and create documentation and training materials to support user training and onboarding
• Provide user support during rollout and early adoption
• Establish and track product success metrics (e.g., adoption, data quality) and drive continuous improvement
• Act as a trusted advisor to scientific stakeholders, guiding trade-offs and promoting software development best practices

Requirements:

• Bachelor's or Master's degree in a life sciences, informatics, or related discipline
• At least 5-7 years of experience in pharmaceutical research, biotech, informatics, or product-adjacent role
• Hands-on experience using or administering Benchling and integrating it with secondary applications
• Demonstrated ability to gather, refine, and translate user requirements into structured system designs
• Strong communication and facilitation skills, with the ability to lead workshops and partner effectively with scientific and technical stakeholders
• Experience producing high-quality requirements, design, and data model documentation to support scalable implementations and ongoing platform support
• Export Control Notice This position may involve access to technology or data that is subject to U.S. export control laws, including the Export Administration Regulations (EAR). As such, employment is contingent upon the applicant's ability to access export-controlled information in accordance with U.S. law. Due to the nature of the work and regulatory requirements, only individuals who qualify as U.S. persons (citizens, permanent residents, asylees, or refugees) are eligible for this position. For this role Moderna is unable to sponsor non-U.S. persons to apply for an export control license
• Ph.D. degree in a life sciences, informatics, or related discipline
• Familiarity with R&D lab workflows (e.g. assay development, process development, flow cytometry, next generation sequencing) and a wide variety of laboratory instrumentation
• Experience with business process mapping and leading cross-functional requirements or design workshops
• Proven ability to develop fit-for-purpose data models and solutions rooted in strong product understanding and established industry standards
• Experience creating user documentation, training materials, and delivering user training
• Comfortable working with external implementation partners
• Ability to manage multiple workstreams and deliver high-quality outcomes in a matrixed environment
• A collaborative, curious mindset and a desire to build systems that enable high-quality science at scale