Senior Configuration Engineer; Hybrid

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, machine learning, and regulatory systems.
• Establish and enforce standards for template design.
• Contribute to continuous improvement of ELN configuration practices and broader DSCS digital transformation initiatives.

• Ph.D. in Computer Science, Data Science, Molecular Modeling, Engineering, Chemistry, Physics, Biology, Pharmaceutical Sciences, or a closely related field.
• Or M.S. in one of the above fields with at least 2 years of industrial/pharmaceutical or relevant experience.
• Or B.S. in one of the above fields with at least 4 years of industrial/pharmaceutical or relevant experience.

• 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, creativity, and interpersonal skills.
• Ability to deliver complex solutions under compressed timelines in a dynamic environment.
• Team orientation with cross‑functional collaboration.
• Motivated to learn new skills, willing to take on new challenges, and scientific curiosity.

• 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, relational databases, and SQL.
• Experience with common process and analytical capabilities used in pharmaceutical development.
• Evidence of cross‑functional collaborations.

$ – $

• Eligible for annual bonus and long‑term incentive, if applicable.
• Medical, dental, vision, and other health insurance for employee and family.
• Retirement benefits including 401(k).
• Paid holidays, vacation, and compassionate and sick days.

• Designated location:
  San Francisco, California (only residents considered).
• 10% travel required.
• Hybrid work arrangement.
• First shift – Day.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.