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Sr. Spclst - Data Engineering

MSD

$114,700 - $180,500
Sep 4, 2025
North Wales, PA, USA • Linden, NJ, USA
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Digital Chemistry, Manufacturing, and Controls (dCMC) is a cross-divisional digital transformation initiative that will enable the pipeline by establishing a digital continuum of data from development through manufacturing for our products and processes. A key workstream within this initiative is the auto-generation of regulatory filing sections, enabled by a dedicated application designed to create a frictionless flow of data from source systems to regulatory documentation.

Requirements

  • Understanding of data within the CMC (Chemistry, Manufacturing, and Controls) domain, including experience in analytical testing, manufacturing processes, and laboratory development.
  • Basic understanding of regulatory authoring processes and the role of data in regulatory filings, including how data supports submissions and the importance of accuracy and traceability.
  • Familiarity with source systems such as LIMS, Veeva, and document formats like PDF, enabling effective data extraction, validation, and integration.
  • Experience in data standardization, modeling, and semantic ontologies to define standards, maintain data models, and enhance data interoperability.
  • Understanding of master data management and manufacturing ontologies to support consistent data definitions, relationships, and governance.
  • Data engineering and experience with extract, transform, load tools and scripting techniques.
  • Advanced knowledge of regulatory frameworks and insight to electronic submission standards (eCTD etc)

Responsibilities

  • Define and implement data standardization rules and practices across multiple source systems .
  • Support the extraction, transformation, and validation of process and analytical data to ensure consistency and quality before auto generation into regulatory documentation.
  • Contribute to the creation and refinement of the data models that represent regulatory filing sections and their underlying data relationships.
  • Assist in documenting data models, metadata, and data lineage to support transparency and traceability.
  • Develop and maintain data products that enable auto-generation of regulatory filing content.
  • Collaborate with product owners and technical teams to gather requirements, test new features, and trouble shoot data related issues.
  • Support user onboarding and training related to data standards and product usage, including defining data governance requirements and expectations.

Other

  • Proven success collaborating within cross-functional teams and communicating effectively with technical and business stakeholders to align on data requirements and project goals.
  • Work closely with regulatory authoring, IT, data strategy, and source system teams to align on data requirements and understanding integration priorities.
  • Participate in meetings to gather feedback, report progress, and escalate issues as needed.
  • Assist in preparing documentation, reports, and presentations related to data standardization and product status.
  • Hybrid work model