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Job Description
Bioinformatics Intern | Novo Nordisk
The Tone:
This is an internship at Novo Nordisk, located in Lexington, Watertown, Cambridge, and Plainsboro. Novo Nordisk is a global pharmaceutical company focused on defeating serious chronic diseases and pioneering solutions to help millions live healthier lives. This role is crucial because it contributes to cutting-edge research in RNA interference, directly impacting the development of new medicines that improve human health and serve patients worldwide.
The TL;DR
• Role: Internship
• Type: Full-time, Temporary
• Location: Lexington, Watertown, Cambridge, and Plainsboro
• Pay: $52000–$89000 hourly
• Mission: Implement or extend a data processing pipeline for chimeric eCLIP-seq data to gain insights into therapeutic siRNAs.
• Tech Stack: Linux Command line, Git, Nextflow, Seqera, Docker, Singularity, Microsoft Office Tools (Word, Excel, PowerPoint)
What You’ll Actually Do
• Pipeline Development: Implement or extend a data processing pipeline specifically for chimeric eCLIP-seq data, leveraging publicly available tools and workflows.
• Workflow Execution: Run reproducible and scalable workflows on Seqera to analyze multiple chimeric eCLIP-seq datasets and single-cell transcriptomics datasets.
• Collaborative Insights: Collaborate with wet-lab scientists and bioinformaticians to derive insights into the cell type delivery of therapeutic siRNAs and their interactions with the AGO2 protein.
• Targetome Profiling: Profile the targetome of individual therapeutic siRNAs to understand their specific interactions.
The Must-Haves
• Background: Current student enrolled at an accredited college or university, pursuing at least a bachelor’s degree.
• Experience: Familiarity with the Linux Command line, experience with Git for ensuring reproducibility, and experience with next-generation sequencing (NGS) data analysis including QC, UMI/adapt trimming, alignment, and annotation.
• Skills: Understanding of Nextflow’s domain-specific language (DSL) for workflow orchestration, strong organizational and project management skills, and keen attention to detail.
• Bonus: An in-progress undergraduate or graduate degree in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related discipline is preferred, along with a cumulative GPA of 3.0 or higher.