Senior Configuration Engineer (Hybrid)

We are a global biopharmaceutical leader with a portfolio of prescription medicines, oncology, vaccines and animal health products. We are driven by our purpose to develop and deliver innovative products that save and improve lives. With 69,000 employees operating in more than 140 countries, we offer state of the art laboratories, plants and offices that are designed to inspire our employees as we learn, develop and grow in our careers. We are proud of our over 125 years of service to humanity and continue to be one of the world’s biggest investors in Research & Development. We are seeking a Senior Configuration Engineer to join our Digital Insights team within the Development Sciences and Clinical Supply (DSCS) Digital Technologies organization. Digital is the multiplier that will allow DSCS to deliver better experiments faster, efficient filing and launch, more robust supply chains and higher‑confidence decisions across the portfolio. The DSCS Digital Technologies organization is responsible for the invention and application of new digital tools/workflows to support scientists across drug substance development, drug product development and analytical development. We aspire to embed digital technologies into the fabric of DSCS culture to drive transformational impact. The tools that we develop are as the teams developing them, and in this Senior Configuration Engineer role, the successful candidate will leverage their expertise in working with ELN configuration and structured data design to enable standardized, high‑quality data capture across CMC workflows . The person in this role will work across our company small molecule, biologics, and vaccines portfolio with an initial focus on helping deliver the staged implementation of a unified CMC data model through scalable ELN configuration . The candidate will be tasked with leading the design, configuration, and governance of Admin Defined Templates (ADTs), Worksheets, and experiment templates within the Signals platform to ensure consistent, structured capture of experimental data at the source . This includes, but is not limited to, translating complex scientific workflows into reusable templates with embedded logic, aligning Signals configurations to enterprise data models, and enabling seamless integration with downstream analytics, machine learning, and regulatory systems . This role sits within the Digital Insights team which is working to digitally enable a decision engine for DSCS, by innovating solutions through strong partnership in the domains of Data Science, Data Analysis, Informatics, Multi‑Omics, Predictive Science, and Data Engineering. 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, enabling integration with analytics, ML, and regulatory systems Establish and enforce standards for template design Contribute to continuous improvement of ELN configuration practices and broader 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 M.S. in the same fields with at least 2 years of industrial/pharmaceutical or relevant experience B.S. in the same fields with at least 4 years of industrial/pharmaceutical or relevant experience Required Experience And Skills Experience configuring ELN platforms, with strong expertise in structured templates Demonstrated ability to translate scientific workflows into structured data designs, including controlled vocabularies, formulas, and validation rules Strong CMC domain knowledge across analytical, process, formulation, and drug substance/product development Experience supporting enterprise data model or platform implementations, including source‑to‑canonical data mapping Working knowledge of GxP requirements, data integrity principles (ALCOA+), and validated SDLC practices Excellent communication skills, demonstrated creativity, and effective interpersonal skills Ability to deliver complex solutions under compressed timelines in a dynamic environment Ability to work in a team environment with cross‑functional interactions Motivated to learn new skills, willingness to take on new challenges, and scientific curiosity Preferred Experience And Skills Hands‑on experience configuring Revvity Signals ADTs at scale within an enterprise environment Experience leading or contributing to enterprise data model or data harmonization initiatives in pharma R&D/CMC Proficiency with Databricks, SQL, Python, or Spotfire for downstream data enablement Familiarity with ontologies and data standards (e.g., Allotrope, internal CMC vocabularies) Demonstrated leadership in driving standards adoption and establishing communities of practice Experience with data pipeline tools such as Databricks Experience with relational databases and SQL Experience with common process and analytical capabilities commonly utilized in pharmaceutical development Evidence of cross‑functional collaborations Required Skills Analytical Acumen, Biopharmaceutical Industry, Computer Science, Cross‑Functional Collaboration, Data Analytics, Data Format, Data Model Design, Data Modeling, Data Quality, Data Science, Design Changes, Digital Transformation Initiatives, Enterprise Data Modeling, Informatics, Innovation, Intellectual Curiosity, Interpersonal Interactions, New Product Introduction (NPI), Pharmaceutical Sciences, Software Configurations US And Puerto Rico Residents Only Employment Information We are an Equal Employment Opportunity Employer. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. California, Colorado, and other U.S. State Acts provide additional protections. Learn more about your rights. Compensation & Benefits The salary range for this role is $117,000.00 - $184,200.00. The successful candidate will be eligible for annual bonus and long‑term incentive, if applicable. We offer a comprehensive package of benefits, including medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at You can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting. Location Restrictions San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance. Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Travel & Working Arrangements Travel Requirements: 10%. Flexible Work Arrangements: Hybrid. Shift: 1st - Day. #J-18808-Ljbffr Merck