Wave Life Sciences · 12 hours ago
Bioinformatics Co-op (Fall 2026)
Cambridge, MA
Full-time
Onsite
New GradWave Life Sciences is a biotechnology company dedicated to delivering transformational therapies for patients with serious genetic diseases. They are seeking a highly motivated Bioinformatics Co-op to support drug discovery programs by designing and executing sequence-based machine learning projects, analyzing data, and developing bioinformatics tools.
BiotechnologyHealth CarePharmaceuticalTherapeutics
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)
Qualification
Required
Highly motivated and detail-orientated individual
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
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
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
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)
Preferred
Discovery and development of oligonucleotide therapeutics is a plus
Hands on experience with MySQL is a plus
Experience with PacBio and/or Nanopore sequencing is a plus
Company
Wave Life Sciences
Wave Life Sciences is a clinical-stage RNA medicines company committed to delivering life-changing treatments for people battling diseases
Founded in 2012
201-500 employees
H1B Sponsorship
Wave Life Sciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (11)
2023 (15)
2022 (16)
2021 (15)
2020 (15)
Funding
Current Stage
Public CompanyTotal Funding
$1.22BKey Investors
GlaxoSmithKlineTakeda VenturesForesite Capital
2025-12-09Post Ipo Equity· $350M
2024-09-24Post Ipo Equity· $200M
2023-12-06Post Ipo Equity· $100M
Leadership Team
Paul Bolno
President and CEO
C
Chandra Vargeese
Chief Technology Officer and Head of Platform Discovery Sciences
Recent News
2026-01-06
2026-01-05
Company data provided by crunchbase