Senior Scientist, Bioinformatics Engineer
Core
Build data platforms and analytical foundations for high-throughput proteomics data using mass spectrometry and computational biology.
Role type
Senior Scientist, Bioinformatics Engineer (Data Engineering & Workflow Automation)
Builds
Reproducible end-to-end pipelines, scalable data models, and analytical tools for proteomics data.
Domain
Life Sciences / Proteomics / Computational Biology
Required skills
Bioinformatics, Workflow development (Nextflow, Snakemake), Data engineering, Cloud platforms (AWS/Azure), Containerization (Docker), R/Python, Git, FAIR data principles
Preferred skills
MS-based discovery proteomics, Machine learning/AI for scientific data, Multi-omics analysis, High-dimensional omics statistics
Technologies
Nextflow, Snakemake, Docker, AWS, Azure, Snowflake, PostgreSQL, R Shiny, Streamlit, Linux
Responsibilities
Design and maintain reproducible computational workflows for proteomics data; Develop scalable data models and storage strategies; Integrate experimental metadata for analysis-ready datasets; Build scientific interfaces and applications; Apply software engineering best practices (CI/CD, testing, version control).
