Bioinformatics Co-op (Fall 2026)

Wave Life Sciences is a biotechnology company focused on unlocking the broad potential of RNA medicines to transform human health. The company is seeking a highly motivated and detail-orientated individual to work in the areas of bioinformatics, computational biology and human genetics in support of Wave’s drug discovery programs.

Requirements

• Design and build pipelines that process and analyze related data, store summary results and integrate with the corporate ELN
• Build applications to support bioinformatics and human genetics pipelines in R (shiny) and Python (streamlit)
• Develop, deploy, manage, and run applications using Docker containers
• Contribute to best practices for Wave’s storage-and-compute scalability of large bioinformatics datasets
• Develop pipelines that determine mapping coordinates and homology of oligonucleotides to genomes and transcriptomes
• Espouse best practices for version control for developed software (Git)
• Experience with common human genetics resources and techniques
• Deployment and deployment of interactive application from scripting languages like R and Python (Shiny and streamlit)
• Experience with relational databases; hands on experience with MySQL is a plus.
• Experience in common NGS analyses task such mapping reads, quantification of gene expression, and/or variant calling.
• Experience with common bioinformatics tools like Samtools, GATK, Bowtie, HISAT2, BLAST, htseq-count, DESeq, Salmon, STAR, or Subread
• Knowledge of Illumina sequencing data analysis is necessary and experience with PacBio and/or Nanopore sequencing is a plus
• Familiarity with UNIX computing environment and proficiency in either Python or R scripting. Experience with docker and Nextflow pipeline is also strongly recommended.
• Ability to communicate finding of NGS data to a general scientific audience in both oral and written forms.

Benefits

• Equal employment opportunities (EEO)
• Paid time off
• Retirement plan
• Health insurance
• Paid vacation time