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Process Development Engineer III, Data Management

Regeneron
over 2022 years ago
On-site
Tarrytown, NY
IT

Role Summary

The Data Enablement and Analytics (DEA) team within PAPD drives digitalization by making data usable, reliable, and impactful across process development. We are seeking a Data Solutions Engineer with deep expertise in LIMS solutions like LabWare LIMS or Benchling and enable analytics from this data. This person will serve as a functional and technical bridge between laboratory users, process development scientists, and digital/data platforms.

This role is critical to ensuring high-quality data capture, governance, integration, and reporting across PAPD workflows. The ideal candidate combines strong LIMS domain knowledge with hands-on experience in data platforms (data lakes and data stores) and reporting/visualization tools and brings excellent communication and collaboration skills.

Responsibilities

  • Act as a superuser and subject-matter expert for LabWare and Benchling LIMS, supporting day-to-day PAPD laboratory operations.
  • Work with IT and our LIMS vendors to support onboarding, training, and adoption of new LIMS capabilities across PAPD.
  • Partner with laboratory scientists, process engineers, and data teams to optimize LIMS configurations, workflows, templates, and metadata standards.
  • Troubleshoot LIMS issues, coordinate with vendors/IT, and drive continuous improvement.
  • Enable and support reporting and visualization using Spotfire, Tableau, and Power BI, ensuring PAPD data from various data sources is usable for operational, scientific, and management insights.
  • Work with stakeholders to define key metrics, dashboards, and reporting requirements tied to PAPD processes.
  • Ensure LIMS data is complete, consistent, and analysis-ready, supporting downstream consumption by data lakes, data stores, and analytics platforms.
  • Collaborate with DEA data engineering and OT/IT partners to enable reliable data pipelines from LIMS into enterprise data platforms.
  • Contribute to creation of data standards, data quality checks, and documentation that support scalable digital solutions.
  • Apply strong knowledge of PAPD processes, workflows, and documentation practices to ensure digital solutions align with how work is performed in the labs.
  • Support documentation, data traceability, and audit readiness as required.
  • Serve as a team player and connector across PAPD, DEA, IT, and external vendors and execute using SAFe (Scaled Agile Frameworks).
  • Translate between scientific, technical, and business stakeholders with clear, concise communication.
  • Act as the overall product owner and product manager for multiple agile teams and drive forward the PAPD roadmap using Agile methodology.
  • Participate in cross-functional initiatives supporting PAPDโ€™s broader digital and data strategy.

Qualifications

  • Required: Bachelorโ€™s degree in science, Engineering, Information Systems, or a related field (or equivalent experience) with 8+ years of total experience.
  • Required: Good understanding of LIMS Solutions and hands-on experience with LabWare or Benchling LIMS solutions.
  • Required: Strong understanding of laboratory data flows, sample management, and experimental workflows.
  • Required: Working knowledge of data lakes, data stores, and data integration concepts.
  • Required: Experience enabling reporting or analytics using Spotfire, Tableau, and/or Power BI.
  • Required: Solid understanding of PAPD process development environments and documentation.
  • Required: Strong communication skills and ability to work effectively in cross-functional teams.
  • Preferred: Experience working within biopharma or biotech process development organizations.
  • Preferred: Familiarity with upstream and downstream processing and analytics needs in a biopharma company.
  • Preferred: Familiarity with data governance, metadata standards, and data quality practices.
  • Preferred: Experience partnering with IT, data engineering, or digital transformation teams.
  • Preferred: Familiarity with AI capabilities of Tableau Cloud, Power BI tools or similar.