This role within Moderna's CMC Quantitative Sciences (CMC QS) team in Norwood, Massachusetts, focuses on developing and enhancing analytics infrastructure. This includes building robust data pipelines, workflow automations, and visualization tools to support GMP and development production. The Senior Research Associate will work with complex datasets from various platforms, providing actionable data insights, statistical tools, and automated solutions to drive continuous improvement across Technical Development, MS&T, Quality, and Manufacturing groups. The position offers exposure to digital manufacturing platforms and opportunities to integrate cutting-edge Generative AI tools, making it a high-impact role for a data engineer in biotechnology.
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 such as SPC, multivariate analysis, and automated reporting frameworks.,Investigate manufacturing issues using advanced data techniques, communicating findings clearly and effectively to technical stakeholders.,Collaborate on the implementation of new digital platforms and analytics solutions, including defining requirements, participating in design discussions, and supporting computer systems validation.,Champion consistent data analytics and statistical methodologies across the CMC QS organization.,Troubleshoot production data issues, identifying 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.,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).
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.
Bachelor's Degree, Master's Degree
Must be able to access export-controlled information in accordance with U.S. export control laws. Employment is contingent upon the applicant's ability to qualify as a U.S. person (citizen, permanent resident, asylee, or refugee). Moderna is unable to sponsor non-U.S. persons for an export control license for this role.
Moderna is a biotechnology company pioneering a new class of medicines made of messenger RNA (mRNA). The company's platform builds on continuous advances in basic and applied mRNA science, delivery technology and manufacturing, and has allowed the development of therapeutics and vaccines for infectious diseases, immuno-oncology, rare diseases, cardiovascular diseases and autoimmune diseases.
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