R&D Data Operations Engineer

Today, Lonza is one of the world’s largest healthcare manufacturing organizations operating across five continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

Located in the vibrant community of Bend, OR, our team of exceptionally hard-working individuals is committed to pushing the boundaries of scientific research and development. We believe in empowering our employees to own their careers and contribute to groundbreaking advancements that genuinely improve lives. Join us as an R&D Data Operations Engineer, and be part of a team where your ideas, big and small, can make a significant impact on the world.

Key Responsibilities:

• Develops and maintains data infrastructure across small molecules R&D and manufacturing operations, with a focus on integrating laboratory and process data streams
• Collaborates with scientists, engineers, and manufacturing teams across the small molecules division to understand data needs and implement effective solutions
• Creates and optimizes extract, transform, learn (ETL) pipelines to integrate data from multiple sources including electronic lab notebooks, analytical instruments, and manufacturing systems
• Implements data quality controls and standardization processes to ensure consistency across different teams and operations
• Works closely with data science teams to prepare datasets, develop analysis pipelines, and support the deployment of artificial intelligence and/or machine learning models
• Develops documentation and provides technical support to ensure proper data handling practices across teams

Key Requirements:

• The ideal candidate should possess a BS or MS or equivalent experience in Data Science, Computer Science, or another quantitative subject
• Strong programming skills in a common language (e.g. Python, Java, Go, Ruby)
• Cloud computing experience, including IaaS and PaaS on a common platform  (e.g. AWS, Azure, GCP
• Experience setting up and maintaining data infrastructure, including database querying and design (SQL)
• Knowledge of laboratory systems (ELN/LIMS)
• Understanding of laboratory workflows and data collection

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

Lonza is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law