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Senior Research Associate, CMC Quantitative Sciences

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Moderna

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Location:
United States , Norwood

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

74000.00 - 118400.00 USD / Year
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Job Description:

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.

Job Responsibility:

  • 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
  • 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

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

Nice to have:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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