Senior Data & DataOps Manager

Senior Data & DataOps Manager (Hybrid) - Analytics 

Location: Basel 

Hybrid Working Model (3 days in the office, 2 days WFH)  

Today, Lonza is a global leader in life sciences operating across three 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.  

The role:  

The Head of Data Management & DataOps is responsible for transforming the data generated by R&D into an asset for Lonza. You will lead a team of specialized data engineers and will be responsible for the architecture and implementation of software and hardware to interrogate the data collected. 

Other responsibilities include defining the standards for data capture based on the current and future scientific needs, and ensuring that the standards are maintained and evolve according to the needs and in compliance with Lonza standards. You will also ensure that data is accessible to all R&D scientists, and to support the development and execution of Lonza's innovation strategy; whilst leveraging strong network/expertise with other global data management roles within Lonza. 

This is an excellent opportunity to join Lonza and will directly contribute to the advanced research and innovation that Lonza performs. You will also draw upon your previous experience to shape the processes/systems within this area. 

Key responsibilities:  

• Leading a team of data engineers responsible for the management of data and knowledge created by the biologics R&D unit. 

• Supporting scientists in structuring data by creating appropriate workflows and capturing the data in a centralized system (e.g. electronic lab notebook). 

• Managing and defining data standards for the R&D department. 

• Managing a hybrid (cloud/on-prem) data storage structure with omics data. 

• Defining and implementing methods to store and access complex and large biological datasets for bioinformatic scientists. 

• Coordinating with other Lonza departments the procedures necessary to exchange data between departments. 

Key requirements  

• Bachelor's or Master's degree in computational Field or Bioinformatics.

• Proven experience working with data in a cloud environment.

• Professional experience in data management and programming within a scientific environment preferably’.

• Experience in implementing and managing data infrastructure, including databases (SQL).

• Experience in cloud computing. 

• Ability to interpret the needs of a team of scientists, to manage their data effectively.

• Able to manage cross-functional relationships in large corporate structures.

​Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.  

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.