Bioinformatics Co-op (Fall 2026)

Wave Life Sciences • Cambridge, MA

3h

About The Position

Wave Life Sciences (Wave) is a biotechnology company focused on delivering transformational therapies for patients with serious, genetically defined diseases. We differentiate ourselves through our proprietary chemistry platform that enables the production of stereopure oligonucleotides precisely targeting the underlying cause of rare diseases. At Wave, we welcome those who share a passion to change lives and embrace a culture that is thoughtful, dynamic, humble, and fearless. Together, we can contribute to our mission enabling every patient with a genetic disease to have access to life-changing treatments.
Description:
Wave needs 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. The candidate will be expected to work within a team to design and execute sequence-based machine learning projects that generate critical information for drug discovery and target assessment. The candidate will create and deploy data and test hypotheses related to human genetics and bioinformatics. The candidate will build and use the next generation of human genetics and bioinformatics tools for the development of oligonucleotide therapeutics. The candidate should have a strong coding and software development background and a willingness to work in an interdisciplinary team of chemists, biologists, and software developers.
Experience:
Discovery and development of oligonucleotide therapeutics is a plus
Working with high-performance compute environments

Requirements

• 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.

Nice To Haves

• Discovery and development of oligonucleotide therapeutics is a plus
• Working with high-performance compute environments

Responsibilities

• 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)

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 251-500 employees