Design, implement, and scale computational pipelines for single-cell perturbation datasets, while contributing to model development and experimental design
Job Summary
Design, implement, and scale computational pipelines for single-cell perturbation datasets, while contributing to model development and experimental design.
Develop, innovate, and maintain advanced computational methods to process, analyze, and interpret large-scale single-cell genomics and perturbation datasets.
Build, optimize, and scale data analysis pipelines using modern cloud computing environments (e.g., AWS, GCP, Azure).
Matching Summary
Design, implement, and scale computational pipelines for single-cell perturbation datasets, while contributing to model development and experimental design.
Skills & Requirements
Must-have
single-cell genomics
perturbation datasets
Python, R, and Unix/Linux
cloud computing environments
data infrastructure
Nice-to-have
functional genomics
CRISPR screens
multi-source data integration
deep learning frameworks
Key Requirements
Ph.D. or BS/MS with >=3 years experience
Proficiency in Python, R, and Unix/Linux
Experience in single-cell or multi-omics data analysis