Joining Moderna offers the unique opportunity to be part of a pioneering team that's revolutionizing medicine through mRNA technology, with a diverse pipeline of development programs across various diseases. As an employee, you'll be part of a continually growing organization, working alongside exceptional colleagues and strategic partners worldwide, contributing to global health initiatives. Moderna's commitment to advancing the technological frontier of mRNA medicines ensures a challenging and rewarding career experience, with the potential to make a significant impact on patients' lives worldwide. Moderna is solidifying its presence in Norwood, Massachusetts—home to one of our most advanced manufacturing sites. At Norwood, we integrate cutting-edge science with digital innovation to scale and accelerate the production of our mRNA medicines. We are seeking exceptional professionals to help us achieve operational excellence and build the future of advanced manufacturing. Join us in Norwood and make a tangible impact on global health through technology-driven bioproduction. As a Data Engineer within Moderna’s CMC Quantitative Sciences (CMC QS) team, you will play a pivotal role in shaping the digital infrastructure that powers Moderna’s GMP and Development Production operations. You will be instrumental in building, enhancing, and maintaining robust data pipelines and analytical workflows that drive decision-making for manufacturing, quality, and technical teams. This hands-on individual contributor role is ideal for someone who thrives on solving complex, real-world problems using data. You’ll collaborate with engineers, scientists, and cross-functional stakeholders to translate production and quality datasets into actionable insights and operational tools. With access to complex systems like MES, DeltaV, OSI PI, SAP, and LIMS, you will be at the center of Moderna’s digital manufacturing ecosystem—delivering impactful analytics that drive operational excellence and innovation. Here’s What You’ll Do Your key responsibilities will be: Partnering with Manufacturing, Technical Development, and Quality functions to deliver data-driven analyses, dashboards, and digital solutions that support operations and continuous improvement. Leading the development and maintenance of data engineering pipelines, contextualization systems, and data intake workflows that enable seamless and validated information flow. Creating and deploying advanced analytical tools such as statistical process control, multivariate analyses, and automated reporting systems to support technical investigations and performance monitoring. Supporting investigations and root cause analyses by performing deep data manipulation and applying sound statistical techniques with clear communication of outcomes. Your responsibilities will also include: Collaborating with cross-functional teams to implement digital tools and analytics platforms by contributing to technical requirements, validation, and solution optimization processes. Advocating for and modeling strong statistical and analytics practices to drive consistency across CMC QS and broader partner teams. Troubleshooting data pipeline and analytics reliability issues and identifying opportunities to streamline or automate workflows. Providing informal guidance and technical mentorship to partners and junior staff on data best practices. Engaging with opportunities to integrate and explore generative AI tools as part of the evolving digital manufacturing toolkit. Contributing to Moderna’s commitment to digital innovation in biomanufacturing through additional tasks as assigned. The key Moderna Mindsets you’ll need to succeed in the role: We digitize everywhere possible using the power of code to maximize our impact on patients. In this role, you will bring advanced coding, data engineering, and analytics solutions to critical manufacturing systems, directly influencing how we scale and deliver mRNA medicines at speed and quality. We obsess over learning. We don’t have to be the smartest, we have to learn the fastest. You will continuously adapt to new data sources, technologies, and analytical approaches, embracing experimentation and learning to drive better outcomes across our production environment.
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Job Type
Full-time
Career Level
Mid Level