United Kingdom, Cambridge

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.

Within the company Lonza Bio R&D leads the discovery, design and development of innovative biologics platforms, processes and technologies that form the basis of our products.

We are currently looking to recruit a Bioinformatician to join our growing Research & Development (R&D) based in Cambridge. As a Bioinformatician, you will undertake expert analysis and interpretation of complex, data rich biological experiments in collaboration with your peers from other R&D research groups.  You will implement bioinformatics pipelines with which to perform analyses and will maintain a strong internal and external scientific network through presentation and publication of your work.

This is an excellent opportunity to join a friendly, collaborative environment where you can utilise your expertise to contribute to the success of the team!

Key responsibilities:

  • Analysing and interpreting complex biological experiments performed in Lonza R&D

  • Identifying and implementing new sources of useful biological knowledge from the external environment

  • Developing and implementing bioinformatics pipelines

  • Maintaining an external professional network and develops scientific collaborations

Key requirements:

  • Proficient with omics data analysis, including analysis of NGS data (e.g. RNA-seq, WGS).

  • Experience in processing, statistical analysis, and visualization of multi-dimensional biological data.

  • Strong coding skills in common programming languages (Python, R, …).

  • Proficient in using the UNIX command line.

  • Experience of using common bioinformatics databases.

  • Excellent communication skills, proficient in managing stakeholders.

  • Good time management and ability to set priorities.

Desirable qualifications:

  • Experience working within bioinformatics within the biotech/biopharma industry and scientific awareness that underpins your data analysis.

  • Experience of applying machine learning to biological data, including use of common ML frameworks (PyTorch, Keras, TensorFlow, …).

  • Experience in development and deployment of bioinformatics applications.

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.


Reference: R37901