Senior Research Associate, CMC Quantitative Sciences
About The Position
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—our cornerstone for cGMP clinical and commercial manufacturing in the U.S. Home to our state-of-the-art biotechnology production facilities and technical development labs, Norwood serves as a dynamic hub where cross-functional teams collaborate to scale our mRNA platform and deliver on the promise of rapid response. Join us in Norwood and be a critical part of advancing Moderna’s manufacturing excellence. This hands-on role sits within Moderna’s CMC Quantitative Sciences (CMC QS) team and plays a key part in shaping the future of data-driven decision-making within our manufacturing and technical operations. As a Senior Data Engineer, you’ll own the development and enhancement of analytics infrastructure—building robust data pipelines, workflow automations, and visualization tools that support GMP and development production. You’ll work with highly complex datasets from platforms such as MES, DeltaV, OSI PI, SAP, LIMS, and internally built systems. Your work will directly support Moderna’s Technical Development, MS&T, Quality, and Manufacturing groups by providing actionable data insights, statistical tools, and automated solutions to drive continuous improvement. With exposure to digital manufacturing platforms and opportunities to contribute to the integration of cutting-edge Generative AI tools, this is a high-impact role for a data engineer passionate about practical applications in biotechnology.
Requirements
- 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, and visualize complex datasets.
- Familiarity with business analytics/visualization tools (e.g., Tableau, Power BI, Spotfire).
- This position is site-based, requiring you to be at Moderna’s site full-time.
- This position is not eligible for remote work.
Nice To Haves
- Advanced education or certification in data science, data engineering, analytics, or a related technical domain.
- Experience working in GMP manufacturing environments and an understanding of bioprocessing unit operations.
- Experience integrating data from diverse manufacturing and quality systems (e.g., MES, LIMS, OSI PI, SAP, DeltaV).
- Strong communication skills, including the ability to explain analytical approaches and findings in a clear and structured way.
- A team-first mindset and a desire to contribute to an organization that is Bold, Relentless, Curious, and Collaborative.
Responsibilities
- Partnering with cross-functional teams in Technical Development, Manufacturing, and Quality to deliver process-data-driven dashboards, analytical tools, and operational solutions.
- Designing and maintaining robust data pipelines, including intake workflows, contextualization layers, and validated analytics systems.
- Building and deploying statistical tools for operational and investigational analytics—such as SPC, multivariate analysis, and automated reporting frameworks.
- Investigating manufacturing issues using advanced data techniques, communicating findings clearly and effectively to technical stakeholders.
- Collaborating on the implementation of new digital platforms and analytics solutions, including defining requirements, participating in design discussions, and supporting computer systems validation.
- Championing consistent data analytics and statistical methodologies across the CMC QS organization.
- Troubleshooting production data issues, identifying opportunities to optimize workflow reliability and efficiency.
- Informally mentoring colleagues and partners on analytics best practices.
- Taking on additional technical or project-based duties as assigned.
Benefits
- Best-in-class healthcare coverage, plus voluntary benefit programs to support your unique needs
- A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
- Family planning benefits, including fertility, adoption, and surrogacy support
- Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
- Savings and investment opportunities to help you plan for the future
- Location-specific perks and extras
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
