Research Associate - Mellon College of Science - Biological Sciences

Core Responsibilities

• Perform molecular biology and genomics-related laboratory procedures according to established protocols, including sample preparation, nucleic acid extraction, PCR-based assays, protein assays, cell culture support, bacterial culture, plasmid preparation, and related experimental workflows.
• Afford assistance with animal and tissue-based research workflows, including mouse model support, mouse dissection, tissue collection, sample labeling and storage, and coordination of downstream molecular assays.
• Process, analyze, and interpret high-throughput sequencing datasets, including RNA-seq, Ribo-seq, single-cell RNA-seq, spatial transcriptomics, and ATAC-seq data.
• Generate figures, tables, written summaries, and presentation materials for laboratory meetings, research reports.
• Maintain accurate and detailed records of experimental procedures, sequencing datasets, analysis scripts, computational results, and project documentation.
• Communicate research progress, technical issues, and analysis results clearly to supervisors and collaborators.
• Collaborate with faculty, postdoctoral researchers, graduate students, and other laboratory staff on interdisciplinary research projects.
• Support sequencing analysis related to gene expression and translational regulation.
• Analyze single-cell datasets to characterize cell populations and disease-related features.
• Develop and maintain reproducible analysis pipeline using R and Python.
• Use bioinformatics tools and computing environments such as IGV, Linux/Unix, and related software.

Qualifications

• Bachelor’s degree in Bioinformatics, Quantitative Biology, Biotechnology, Molecular Biology, Genetics, or a related field required.
• Master’s degree preferred.
• 1-3 years of research experience in a laboratory in bioinformatics, computational biology, genomics, or related biology research.
• Research experience involving wet-lab molecular biology, cell biology techniques and bioinformatics analysis of high-throughput sequencing data, such as RNA-seq, single-cell RNA-seq, spatial transcriptomics, Ribo-seq, ATAC-seq, or alternative splicing analysis.
• Training or certification in laboratory safety, biosafety, and animal research is preferred.

Requirements

• Successful completion of a pre-employment background check.