Vertex Fall Co-op 2026, Computational Genomics

Vertex Inc.•Boston, MA

1d•$30 - $50•Onsite

About The Position

Kickstart Your Career at Vertex! Are you ready to make a real impact? At Vertex, our mission is to tackle serious diseases and to change lives, for the better, for the future. Our aim is to give you the skills, insights, and career guidance to be an important part of that future; to turn your potential into progression. As a Vertex intern or co-op, you’ll work on meaningful projects, collaborate with talented teams, and learn from industry leaders. We’re passionate about innovation, inclusion, and supporting your growth—inside and outside the lab. Why Vertex? Real Projects: You’ll work on assignments that make a real impact, not just busy work. Mentorship & Networking: Connect with leaders and peers who want to see you succeed through professional networks, connections, and collaborations that will shape your longer-term career. Flexible & Supportive: We offer flexible work options with Flex @ Vertex and prioritize your wellbeing. Inclusive Culture: Collaboration and inclusion are embedded in everything we do. Career Launchpad: Build skills, explore career paths, and get guidance for your future career. Ready to apply? Submit your application and let’s turn possibilities into reality! Your Impact The Vertex Computational Genomics co-op program is a 6-month experiential training program for students currently working towards an advanced or Doctoral degree. If you are passionate, collaborative, and growth-minded, a co-op at Vertex will help you gain meaningful experience in our Data and Computational Sciences functional areas and serve as a launchpad for your career. Please note that Vertex reviews applications on a rolling basis and reserves the right to close this job posting prior to the listed deadline. Applicants can expect to receive an update about their application before or shortly after the application deadline. Important Notice Regarding Internship and Co-op Inquiries At Vertex Pharmaceuticals, we are committed to providing a fair and structured recruitment process for all students interested in internship and co-op opportunities. To ensure consistency and equity, all student applications must go through our Early Talent Acquisition Team. Due to the high volume of interest, we are unable to respond to individual solicitation. Direct solicitation to Vertex employees- including senior leaders via email will result in removal from the recruiting process. We appreciate your enthusiasm and interest in Vertex. To be considered for internship or co-op roles, please apply directly through our official application channels. (https://www.vrtx.com/careers/career-growth-and-opportunities/co-ops/) Thank you for respecting our process and helping us maintain a fair experience for all candidates. What you will be doing: We are seeking a highly motivated, graduate-level co-op student with experience in analysis of genomic data to join Vertex as part of the Data and Computational Sciences team. This position will contribute to research in non-viral delivery and gene editing, specifically focused on the evaluation of on- and off-target editing outcomes. The co-op will work closely with team members both within computational genomics and the broader research organization to analyze next-generation sequencing data from gene editing experiments and develop standardized and automated workflows to enable higher throughput and greater insight. Additional opportunities will be available to grow skills in scientific communication and the use of AI in research.

Requirements

Enrolled in a graduate program, pursuing a Ph.D. in either the 4th or 5th year, in Computational Biology, Bioinformatics, Genetics, Genomics, Computer Science, Statistics, or related quantitative/biological field.
Strong analytical skills and demonstrated ability to plan, execute, and interpret computational analyses.
Strong written and verbal scientific communication skills.
Ability to work both independently and collaboratively in a team environment and to proactively seek guidance when needed.
Demonstrated expertise in analysis of next-generation sequencing data analysis
Experience with Python and/or R for scientific data analysis.
Experience with developing and testing computational pipelines use available tools (ex: Snakemake, Nextflow).
Experience working in one of AWS, Linux, or HPC/cluster environments for large-scale data analysis.
Familiarity with reproducible research practices such as version control, notebooks, documentation, and well-structured code organization.
Capacity to work onsite full-time in Boston, MA
Legal authorization to work in the United States, now and in the future. Please note that Vertex does not provide sponsorship for internships or entry level roles within this part of the organization.
You must be available to work full-time, 40 hours per week from July – December 2026

Responsibilities

Execute analyses of sequencing data from gene editing experiments using internal tools to quantify editing rates across various in vitro and in vivo experiments.
Compare efficacy of tested therapeutic approaches across varying parameters to build consensus and guide further development of LNP-based gene editing approaches
Generate clear visualizations and summaries to communicate experimental results to cross-functional stakeholders
Build automated, integrity-focused analysis pipelines to improve throughput and deepen insight from experimental data
Work in cloud and local compute environments, including AWS and/or HPC infrastructure, to support scalable analysis of large genomics datasets
Utilize available AI infrastructure and tools to accelerate development of reproducible code and enhance cross-study comparisons
Regularly share updates in both formal and informal meetings with the computational genomics team while keeping analysis documentation well-organized and reproducible