Process Development Engineer III, Data Enablement and Analytics (DEA/PMPD)

Role Summary

Process Development Engineer III to architect, develop, and optimize advanced data platforms and software solutions that drive bioprocess innovation. This role blends data systems, software engineering, and bioprocess development to enable real-time data flows and set technical standards across the team. You will mentor engineers and influence strategic decisions to accelerate automation and data-driven insights.

Responsibilities

• Architect and implement scalable, high-performance data solutions that integrate bioprocess workflows with enterprise platforms.
• Design and optimize event-driven integrations and APIs for seamless interoperability across heterogeneous systems.
• Drive platform reliability and performance, proactively identifying bottlenecks and implementing advanced monitoring and observability practices.
• Champion engineering excellence within Agile teams, contributing to architecture reviews, code quality standards, and continuous improvement initiatives.
• Stay ahead of emerging technologies, introducing innovative approaches to data engineering and operational technology integration.

Qualifications

• Required: A PhD with 0–3 years of relevant experience, or a Bachelor’s (10+ years) or Master’s degree (8+ years) in Engineering, Computer Science, or related discipline with strong quantitative and analytical skills.
• Preferred: 5+ years of experience in bioprocess development, pharmaceutical manufacturing, or industrial data systems; expert-level programming in Python, JavaScript, and SQL with production-grade application experience; deep knowledge of distributed systems, database architecture, and event-driven design patterns; hands-on experience with DevOps and cloud-native technologies (Kubernetes, NixOS, Jenkins) and infrastructure-as-code; strong familiarity with OT (PI Historian, OPC, MQTT) and industrial data protocols; exceptional communication and leadership skills to mentor developers and influence stakeholders.

Skills

• Python, JavaScript, SQL; production-grade application development
• Distributed systems, database architecture, event-driven design
• DevOps and cloud-native technologies (Kubernetes, NixOS, Jenkins); infrastructure-as-code
• Operational Technology familiarity (PI Historian, OPC, MQTT) and industrial data protocols
• Strong communication and leadership abilities for cross-functional collaboration

Education

• PhD with 0–3 years relevant experience, or Bachelor's (10+ years) or Master’s degree (8+ years) in Engineering, Computer Science, or related field