Microbiome Computational Scientist
Core
Develop, deploy, and apply microbiome and bioinformatics machine learning approaches, with a special emphasis on deep learning, to forecast microbial population dynamics, characterize spatial structure, predict host phenotype impact, track infections, and discover microbial functions.
Role type
Senior IC computational scientist (microbiome AI/deep learning)
Builds
Production ML models and computational pipelines for microbiome analysis
Domain
Biomedical research / Microbiome bioinformatics / Deep learning
Deliverable
production ML models
Required skills
Python programming, high-performance computing, microbiome bioinformatics methods, next generation sequencing data analysis, multi-omics dataset management, deep learning, PyTorch, database systems, Git, containerization, SLURM
Preferred skills
Experience with deep learning and PyTorch
Technologies
PyTorch, Python, Git, SLURM
Responsibilities
Develop and apply bioinformatic and machine learning approaches for microbiology data sources; contribute to scientific publications and grant applications; analyze datasets and produce visualizations and written reports; deploy computational pipelines on local workstations and high performance CPU and GPU clusters; organize and curate large datasets using structured approaches and database systems; engage with trainees and users to facilitate use of computing resources.
Seniority
Senior, hands-on IC