Bioinformatics Co-op (Spring 2026)
Wave Life Sciences
Full-time
Remote friendly (Lexington, MA)
United States
IT
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Role Summary
Bioinformatics Co-op (Spring 2026) at Wave Life Sciences. The role focuses on bioinformatics, computational biology, and human genetics to support drug discovery programs, with an emphasis on designing and executing sequence-based machine learning projects, deploying data-driven hypotheses, and developing tools for oligonucleotide therapeutics.
Responsibilities
- Lead and oversee 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)
- 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)
Qualifications
- Experience with common human genetics resources and techniques
- Deployment of interactive applications 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 tasks such as 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; 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 pipelines is strongly recommended
- Ability to communicate findings of NGS data to a general scientific audience in both oral and written forms
Skills
- Strong coding and software development background; ability to work in an interdisciplinary team
- Experience with high-performance compute environments
- Experience with version control (Git)