Fall Co-op 2026, Computational Genomics (Gene Editing)

Graduate-level co-op focused on gene editing research within the Data and Computational Sciences team. 6-month program from July–December 2026.

Key Responsibilities

• Analyze next-generation sequencing data from gene editing experiments to quantify editing rates
• Compare efficacy of therapeutic approaches across varying parameters
• Create visualizations and summaries for cross-functional stakeholders
• Develop automated analysis pipelines for improved throughput
• Work with cloud computing (AWS) and high-performance computing infrastructure
• Leverage AI tools to accelerate code development and enhance comparisons
• Document analyses and share updates with the computational genomics team

Required Qualifications

• Enrolled in 4th or 5th year Ph.D. program in Computational Biology, Bioinformatics, Genetics, Genomics, Computer Science, Statistics, or related field
• Strong analytical and scientific communication skills
• Expertise in next-generation sequencing data analysis
• Proficiency in Python and/or R
• Experience with computational pipeline tools (Snakemake, Nextflow)
• Familiarity with AWS, Linux, or HPC environments
• Must work full-time onsite in Boston (no sponsorship available)