Research Technician I
Core
Provide computational and statistical support for a research project involving super resolution spatial transcriptomics and cellular imaging.
Role type
Research Technician I (computational statistics)
Builds
Research data, simulation studies, visualizations, reproducible code, and research reports/manuscripts
Domain
Academic research, spatial transcriptomics, cellular imaging
Deliverable
production ML models | dashboards & analysis | research
Required skills
statistical methods, simulation studies, data preparation, data visualization, reproducible code development, literature review
Preferred skills
hierarchical statistical modeling, Python, R, xenium/merfish/cosmc/seqfish+ data analysis, subcellular RNA localization analysis
Technologies
Python, R
Responsibilities
Prepare, organize and quality-check spatial transcriptomics, imaging, and cell-segmentation data; Conduct simulation studies and sensitivity analyses to assess model performance and robustness; Implement and evaluate statistical models for subcellular RNA localization and segmentation error; Develop and maintain reproducible Python code and data-analysis workflows; Prepare figures, tables, technical summaries, and research documentation; Participate in research meetings and communicate progress to the principal investigator.
Seniority
Entry-level, hands-on IC
