Senior Configuration Engineer (Hybrid)
Merck
June 26, 2026
Remote friendly (Rahway, NJ)
United States
IT
Responsibilities:
- Lead the design, configuration, and lifecycle governance of Signals configurational elements to standardize data capture across CMC workflows.
- Align configuration development to the unified CMC data model and phased implementation roadmap.
- Translate scientific workflows into scalable templates with embedded logic, validation rules, and ontologies.
- Partner with scientists, SMEs, and digital product teams to drive adoption and ensure templates meet scientific and operational needs.
- Ensure data quality, harmonization, and reusability for integration with analytics, ML, and regulatory systems.
- Establish and enforce standards for template design.
- Contribute to continuous improvement of ELN configuration practices and DSCS digital transformation initiatives.
Education Minimum Requirement:
- Ph.D. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or a closely-related field; or
- M.S. in a related field with at least 2 years of industrial/pharmaceutical or relevant experience; or
- B.S. in a related field with at least 4 years of industrial/pharmaceutical or relevant experience.
Required Experience and Skills:
- Configure ELN platforms with strong expertise in structured templates.
- Translate scientific workflows into structured data designs (controlled vocabularies, formulas, validation rules).
- Strong CMC domain knowledge (analytical, process, formulation, and drug substance/product development).
- Support enterprise data model/platform implementations, including source-to-canonical mapping.
- Working knowledge of GxP, data integrity principles (ALCOA+), and validated SDLC practices.
- Excellent communication, interpersonal skills, and ability to deliver under compressed timelines; cross-functional collaboration; learning mindset and scientific curiosity.
Preferred Experience and Skills:
- Hands-on Revvity Signals ADTs at scale in an enterprise environment.
- Databricks, SQL, Python, Spotfire; ontologies/data standards (e.g., Allotrope/internal CMC vocabularies).
- Experience with data pipeline tools, relational databases/SQL, and process/analytical capabilities in pharma development.
Required Skills (examples): Analytical acumen; data analytics; data model design/modeling; data quality; informatics; digital transformation initiatives.
Application instructions:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees). Application deadline is stated on the posting.
- Lead the design, configuration, and lifecycle governance of Signals configurational elements to standardize data capture across CMC workflows.
- Align configuration development to the unified CMC data model and phased implementation roadmap.
- Translate scientific workflows into scalable templates with embedded logic, validation rules, and ontologies.
- Partner with scientists, SMEs, and digital product teams to drive adoption and ensure templates meet scientific and operational needs.
- Ensure data quality, harmonization, and reusability for integration with analytics, ML, and regulatory systems.
- Establish and enforce standards for template design.
- Contribute to continuous improvement of ELN configuration practices and DSCS digital transformation initiatives.
Education Minimum Requirement:
- Ph.D. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or a closely-related field; or
- M.S. in a related field with at least 2 years of industrial/pharmaceutical or relevant experience; or
- B.S. in a related field with at least 4 years of industrial/pharmaceutical or relevant experience.
Required Experience and Skills:
- Configure ELN platforms with strong expertise in structured templates.
- Translate scientific workflows into structured data designs (controlled vocabularies, formulas, validation rules).
- Strong CMC domain knowledge (analytical, process, formulation, and drug substance/product development).
- Support enterprise data model/platform implementations, including source-to-canonical mapping.
- Working knowledge of GxP, data integrity principles (ALCOA+), and validated SDLC practices.
- Excellent communication, interpersonal skills, and ability to deliver under compressed timelines; cross-functional collaboration; learning mindset and scientific curiosity.
Preferred Experience and Skills:
- Hands-on Revvity Signals ADTs at scale in an enterprise environment.
- Databricks, SQL, Python, Spotfire; ontologies/data standards (e.g., Allotrope/internal CMC vocabularies).
- Experience with data pipeline tools, relational databases/SQL, and process/analytical capabilities in pharma development.
Required Skills (examples): Analytical acumen; data analytics; data model design/modeling; data quality; informatics; digital transformation initiatives.
Application instructions:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub for current employees). Application deadline is stated on the posting.