Senior Scientist, Bioinformatics Engineer
at Jobr
Warsaw, Poland, hybrid, senior, 3+ years
posted 30 Oct 2026 · closes 20 Nov 2026
- Azure
- GitHub
- PostgreSQL
- Nextflow
- Snakemake
- AI
- R Shiny
- Machine Learning
- R
- Git
- Docker
- Linux
- Streamlit
- Snowflake
- AWS
- Python
About the role
Apply
Workplace Type
Onsite
1 Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, Cambridgeshire CB2 0AA, GB
Specialties
Pharmaceutical, Biopharmaceutical, Innovation, Research and development, and Global business
What they are looking for
Senior Level
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Location: Warsaw, Poland Hybrid model of work: 3 days in office, 2 remote per week
At AstraZeneca, we are combining cutting-edge science, data, and artificial intelligence to transform how we discover and develop medicines. As part of Data Sciences and Quantitative Biology (QuBi) this role will work in close collaboration with a group of chemical biology and proteomics scientists and QuBi Bioinformaticians supporting therapeutic areas across AstraZeneca, offering a unique opportunity to contribute to and apply new digital and AI capabilities.
Based at Warsaw, Poland, you will work at the intersection of mass spectrometry-based (MS) proteomics and computational biology, helping to build the data platform and analytical foundations that allow scientists to explore high-throughput proteomics data from mass-spectrometer and emerging molecular assays. This is a hands-on technical role for someone who combines practical bioinformatics, workflow development, and data engineering skills with strong proteomics expertise to deliver robust, scalable workflows, data infrastructure, and tools that scientific teams can rely on.
What you will do
As Senior Scientist - Bioinformatics Engineer within QuBi, you will:
Workflow development and automation
* Design, implement and maintain reproducible end-to-end pipelines for the processing, analysis, interpretation and visualisation of high-throughput proteomics data.
* Develop portable and versioned computational workflows using technologies such as Nextflow, Snakemake or comparable workflow frameworks.
* Containerise analytical environments using technologies such as Docker and deploy workflows across HPC and cloud computing environments.
Read from jobr.pro, last seen 4d ago.