Senior Bioinformatics Engineer – Pipeline Automation & Tool Development
Today, Lonza is a global leader in life sciences 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. The Senior Bioinformatics Engineer – Pipeline Automation & Tool Development will be responsible for developing efficient and high quality bioinformatic pipelines and data science software supporting the design, data processing, analysis, and reporting across Lonza R&D departments. They will be placed in the Bioinformatics & Data Science group and closely work with multi-disciplinary teams of bioinformaticians, lab scientists, biochemists and bioprocess engineers.
The Senior Bioinformatics Engineer – Pipeline Automation & Tool Development will further drive and implement innovative solutions enhancing Lonza’s capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics molecules. Develop and maintain bioinformatic pipelines to facilitate complex data analysis and integration.
Supports onboarding and development of data analysis tools used by multidisciplinary teams across Lonza.
Drives digital innovation in biomanufacturing by enhancing data science, bioinformatics and statistical capabilities.
Manages internal and external collaborations with academic and commercial partners.
PhD with at least 2 years of industry experience or MSc with 5 or more years of relevant experience in bioinformatics, computational biology, data science or a related field.
Hands-on experience in developing and implementing multiple Nextflow pipelines in a production system.
Excellent knowledge of Docker, git, the UNIX command line, R (or python) and unit/pipeline testing frameworks.
Minimum 2 years work experience in developing and rolling out GUI-based bioinformatic tools facilitating experimental design and analyses.
General expertise in analyzing and interpreting omics and other biological data sets using statistical and visualization approaches.
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