Senior Research Associate, CMC Quantitative Sciences

Overview

The Role

Joining Moderna offers the opportunity to be part of a pioneering team revolutionizing medicine through mRNA technology, with a diverse pipeline of development programs across diseases. You’ll be part of a growing organization, working with exceptional colleagues and strategic partners worldwide to contribute to global health initiatives. Moderna’s commitment to advancing the technological frontier of mRNA medicines supports a challenging and rewarding career with potential impact on patients worldwide.

Moderna is expanding its cGMP clinical and commercial manufacturing presence in Norwood, Massachusetts, featuring state-of-the-art biotechnology production facilities and development labs where cross-functional teams scale the mRNA platform and accelerate manufacturing excellence. This role sits within Moderna’s CMC Quantitative Sciences (CMC QS) team and shapes data-driven decision-making in manufacturing and technical operations. As a Senior Data Engineer, you’ll own analytics infrastructure—developing data pipelines, workflow automations, and visualization tools that support GMP and development production.

You’ll work with complex datasets from platforms such as MES, Delta

V, OSI PI, SAP, LIMS, and internally built systems. Your work will support Moderna’s Technical Development, MS&T, Quality, and Manufacturing by providing actionable data insights, statistical tools, and automated solutions to drive continuous improvement. There is exposure to digital manufacturing platforms and opportunities to contribute to integrating Generative AI tools, making this a high-impact role for a data engineer passionate about practical biotech applications.

Your key responsibilities will be:

• Partner with cross-functional teams in Technical Development, Manufacturing, and Quality to deliver process-data-driven dashboards, analytical tools, and operational solutions.
• Design and maintain robust data pipelines, including intake workflows, contextualization layers, and validated analytics systems.
• Build and deploy statistical tools for operational and investigational analytics (e.g., SPC, multivariate analysis, automated reporting).
• Investigate manufacturing issues using advanced data techniques and communicate findings clearly to technical stakeholders.

Your responsibilities will also include:

• Collaborate on implementing new digital platforms and analytics solutions, including requirements definition, design discussions, and support for computer systems validation.
• Champion consistent data analytics and statistical methodologies across the CMC QS organization.
• Troubleshoot production data issues and identify opportunities to optimize workflow reliability and efficiency.
• Informally mentor colleagues and partners on analytics best practices.
• Take on additional technical or project-based duties as assigned.

The key Moderna Mindsets you’ll need to succeed in the role:

• “We behave like owners. The solutions we’re building go beyond any job description.” This role requires independent problem-solving, system ownership, and collaboration across teams. You’ll be trusted to drive projects with autonomy, influence data strategy, and elevate digital manufacturing analytics.
• “We digitize everywhere possible using the power of code to maximize our impact on patients.” You’ll contribute to Moderna’s data and analytics infrastructure, with exposure to Generative AI opportunities and digital acceleration. Your work in automation, coding, and platform design will scale the value of manufacturing data and enhance decision-making across CMC operations.

Basic Qualifications

• BS in a quantitative or scientific discipline (engineering, statistics, mathematics, computer science, data science, or related field) with 2-4+ years of relevant experience in data science/analytics in the pharmaceutical or biotechnology industry OR MS with 0-2+ years of relevant experience.
• Proficiency with statistical software and methods, including DOE, multivariate analysis, regression, and statistical process control (e.g., JMP, Minitab, R, SAS, Python).
• Hands-on experience with programming languages (R, Python, SQL) to manipulate, analyze,…