Bioinformatics Co-op (Spring 2027)

Wave Life Sciences is a biotechnology company focused on developing RNA medicines to transform human health. The Bioinformatics Co-op will support drug discovery programs by designing and executing sequence-based machine learning projects, developing bioinformatics and human genetics tools, and collaborating with interdisciplinary teams.

What you'll do:

• Contribute to large data projects; 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)
• Leverage AI-enabled tools, including generative AI and coding assistants, to accelerate software development, data analysis, documentation, and scientific discovery while ensuring appropriate validation, reproducibility, data security, and responsible use
• 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)

What they're looking for:

• Working with high-performance compute environments
• Deployment and deployment of interactive application from scripting languages like R and Python (Shiny and streamlit)
• Experience in relational databases; hands on experience with MySQL is a plus
• Experience with 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
• Discovery and development of oligonucleotide therapeutics is a plus
• Experience with relational databases; hands on experience with MySQL is a plus
• Knowledge of Illumina sequencing data analysis is necessary and experience with PacBio and/or Nanopore sequencing is a plus