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