J unior Bioinformatics Student Researcher (Single-Cell Biology)
We are seeking a motivated student with emerging interest in computational biology to join our research group and contribute to single-cell transcriptomics projects. This position is ideal for a student eager to build experience in modern genomics, coding for biological analysis, and collaborative research in a wet-lab + computational environment.
Role Overview
The Junior Bioinformatics Researcher will assist with processing and analyzing single-cell and spatial transcriptomics data, support ongoing projects, and learn standard analysis workflows under mentorship from lab members.
Key Responsibilities
Assist with data parsing, preprocessing and QC of single-cell RNA-seq and spatial transcriptomics datasets
Apply analysis tools such as Seurat, Scanpy, and basic Linux command-line workflows
Support integration, clustering, differential expression, and cell-type annotation
Help maintain organized scripts, notebooks, and data files
Generate visualizations and figures for meetings and data reviews
Participate in lab discussions, contribute ideas, and develop independent skills over time
Training & Skills Development
The student will gain experience in:
R/Python coding for biological data analysis
Single-cell pipelines (10x Genomics, Cell Ranger, Seurat/Scanpy)
Data visualization and reproducible workflows
Basic HPC/terminal use, Git version control, and documentation practices
Biological interpretation of transcriptomic results
Preferred Qualifications
Undergraduate or early grad student in Biology, Bioinformatics, Computer Science, Engineering, Neuroscience, or related field
Interest in learning single-cell genomics and computational analysis
Intermediate experience coding in R or Python (coursework or self-taught accepted)
Curiosity, organization, and willingness to learn new computational tools
Nice-to-Have
Previous coursework in genetics, molecular biology, or data science
Familiarity with Jupyter/RStudio environments
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