Research Assistant
Core
Provide technical and operational support to a biomedical research lab, focusing on bioinformatic pipelines for scRNA-seq and spatial transcriptomics data integration.
Role type
Research Assistant (Computational Biology/Bioinformatics)
Builds
Scalable, robust, cloud-based computational frameworks for multi-omic datasets
Domain
Biomedical research, Cancer genomics, Single-cell sequencing
Deliverable
production ML models | dashboards & analysis
Required skills
R, Python, Git, Unix command line, High-performance computing, Cloud computing, Data management, Code debugging/refactoring, Scientific reporting
Preferred skills
Machine learning, Deep learning, scRNA-seq analysis, Spatial transcriptomics (Visium/Xenium), Molecular biology fundamentals
Responsibilities
Develop and maintain bioinformatic pipelines for scRNA-seq and spatial transcriptomic data; Contribute to codebase optimization and benchmarking analytical packages; Manage raw and processed data archives; Provide technical advice on research methods and tools; Assist in preparing research papers and grant applications; Train students and peers on data collection and safety protocols; Coordinate lab communications and project timelines.
Seniority
Junior to Mid-level, hands-on IC
