Postdoctoral Fellow
Core
Co-develop scalable strategies to classify the MGnify protein database into families based on structure, investigate novel protein family distributions, and identify bacteriophage-encoded anti-defence systems using AI and data analysis.
Role type
Postdoctoral Fellow (Computational Biology/Bioinformatics)
Builds
Scalable classification strategies for protein families, updated taxonomic and biome information for MGnify, and functional/structural analyses of anti-defence systems.
Domain
Bioinformatics, Metagenomics, Protein Structure Prediction, Microbiology
Deliverable
production ML models | research
Required skills
Protein classification, Metagenomics, Large-scale data analysis, Python, UNIX/Linux, HPC/Cloud environments
Preferred skills
Bacterial defence systems knowledge, Pipeline tools (Nextflow/Snakemake), Relational databases, AI-assisted coding, Software development best practices
Technologies
MGnify, AlphaFold, ESMfold, Python, UNIX/Linux, HPC, Cloud, Nextflow, Snakemake, MySQL, PostgreSQL, Git
Responsibilities
Develop structure-based classification strategies for MGnify proteins, update database with taxonomic and biome information, investigate correlations between biome/taxonomy and protein families, identify bacteriophage anti-defence systems and propose modes of action.
Seniority
Postdoctoral Fellow (Independent researcher with collaboration)