Computational Biology Intern Job at Massachusetts Eye and Ear, Boston, MA

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  • Massachusetts Eye and Ear
  • Boston, MA

Job Description

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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