Postdoc – Microbiome Bioinformatics (Human Gut Microbiome Digital Twin)
The Sano Centre for Computational Medicine in Kraków is hiring a postdoc to lead the biological dimension of a four-year project developing 'microbiomeGPT'—a generative foundation model of the human gut microbiome—and adapting it into personalized digital tools for disease forecasting and intervention modeling for IBD, colorectal cancer, and Parkinson's disease. The role involves analyzing metagenomic datasets from thousands of public samples and proprietary cohorts, managing a longitudinal validation initiative with the Estonian Microbiome Cohort, and publishing in prominent journals. A PhD in bioinformatics, computational biology, or microbiology, expertise in MetaPhlAn/HUMAnN, Python proficiency, and peer-reviewed publications are required; the position starts July 1, 2026.
Postdoc – Microbiome Bioinformatics (Human Gut Microbiome Digital Twin)
Organization: Sano Centre for Computational Medicine, Structural and Functional Genomics Research Team | Location: Kraków, Poland | Start: July 1, 2026 | Duration: 4 years
Overview
Leading the biological aspects of a four-year initiative to develop microbiomeGPT—a generative foundation model of the human gut microbiome—and adapt it into personalized digital tools for disease forecasting and intervention modeling. The position involves collaboration with the Estonian Microbiome Cohort and industry partner Diagnostyka S.A.
Disease Areas
- Inflammatory bowel disease (IBD)
- Colorectal cancer
- Parkinson's disease
Key Responsibilities
- Analyze and interpret metagenomic datasets from thousands of public samples and proprietary cohorts
- Manage longitudinal validation with the Estonian Microbiome Cohort (Prof. Elin Org)
- Identify disease biomarkers in collaboration with Diagnostyka S.A.
- Author peer-reviewed publications and mentor graduate-level researchers
Required Qualifications
- Doctoral degree in bioinformatics, computational biology, microbiology, or equivalent
- Proven expertise analyzing metagenomic data using MetaPhlAn or HUMAnN
- Published peer-reviewed research
- Python proficiency; fluent English
Preferred
- Time-series microbiome studies experience
- Machine learning in omics; HPC familiarity
Compensation
Competitive salary reflecting Kraków economics; access to in-house GPU cluster and European supercomputing resources; international team of 70+ across 13+ countries. Apply at: sano.science