[Remote] Bioinformatics Intern at Zoetis

United States

Not SpecifiedCompensation

Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

BiotechnologyIndustries

Currently enrolled in a PhD program in Bioinformatics, Computational Biology, or a related field at a university in the United States
Demonstrated proficiency in R, Python, and Bash for pipeline development, with familiarity working in an HPC environment
Hands-on experience with high-throughput ‘omics data analytics (e.g., genomics, transcriptomics, proteomics)
Familiarity with advanced and emerging methods for downstream analysis of single-cell RNA-seq/ spatial transcriptomics data analysis, demonstrating an awareness of current literature and innovative computational approaches

Enhance and extend scRNA-seq and spatial transcriptomics analysis pipelines, with a focus on downstream modules
Integrate and implement novel computational methods from recent literature (e.g., trajectory inference, cell-cell communication, gene regulatory network analysis) into scalable workflows
Optimize pipeline performance within a high-performance computing (HPC) environment, leveraging parallelization and GPU resources where applicable
Develop clear, reproducible code with thorough documentation and maintain version control using GitHub
Create informative visualizations to effectively communicate biological insights from single-cell and spatial transcriptomics data