Senior Data Scientist - Bioinformatics

United Kingdom, Cambridge
United Kingdom, Slough

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 Senior Data Scientist – Bioinformatics to join our team. This role will sit within our Bio R&D Bioinformatics & Data Science team, which tackles complex data analysis problems across the whole spectrum of Bio R&D projects. Our mission is to apply bioinformatics and data science to the discovery, design and development of new biologics technologies. This includes cutting edge research into biomanufacturing, synthetic biology and cell and gene therapy development.

The Senior Data Scientist works as part of multi-disciplinary teams to solve research problems using their data science and machine learning expertise. You’ll be expected to work proactively to define data analysis problems with our research teams from across the biomanufacturing, synthetic biology and cell and gene therapy areas and then implement solutions that meet their needs. The data we deal with spans genomics, proteomics, metabolomics, gene editing, spectroscopy and more so you will need to be agile and always ready to learn new areas to apply your skills to.

Key responsibilities:

  • Providing expert analysis of biological data through bioinformatics

  • Accountable for the analysis and interpretation of complex, data rich biological experiments in collaboration with peers from other R&D research groups

  • Developing and deploying new data processing pipelines and machine learning models, as well as analysing, visualizing and interpreting complex biological data.

  • Implementation and maintenance of Lonza R&D data infrastructure

  • Work closely with R&D Research groups to define data requirements, implement data and engineering projects.

  • Build strong relationships with internal stakeholders, customers and suppliers

Key Requirements:

  • PhD or equivalent in a quantitative discipline preferably with a focus on computational biology or bioinformatics applications, and industry experience within biopharma/biotech field

  • Experience using machine learning approaches to answer biological questions

  • Programming and statistical data analysis and visualization experience in R or Python with one or more common ML frameworks (Tensorflow, PyTorch, etc…).

  • Experience working in multidisciplinary teams and strong scientific writing and presentation skills.

  • Experience processing, analysing and interpreting NGS data.

  • Experience using common bioinformatics databases and Unix command line tools.

  • Experience using cloud-based computing (AWS, Azure or GCP).

  • Experience of one or more omics technologies including: RNASeq, scRNASeq, WGS, CRISPR, proteomics and metabolomics.

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: R37666
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