Vertex Fall Co-op 2026, Analytical Development

Role Summary

Vertex Fall Co-op 2026, Analytical Development is a 6-month co-op for students pursuing undergraduate or graduate degrees in Bioinformatics, Data Science, Statistics, Industrial Engineering, Chemical Engineering, or related fields. The program provides hands-on experience in the analytical development function, offering opportunities to organize data, develop models, and collaborate with cross-functional teams. The role is onsite in Boston, MA, from July through December 2026, with a full-time schedule (40 hours per week).

Responsibilities

• Data-driven insights for advancing PATs for cell and gene therapy manufacturing: organizing and mining process data to uncover insights, building a master data matrix for in-process data combined with off-line orthogonal measurements, exploring biocapacitance trends for cell expansion and differentiation, and developing RAMAN models for media components.
• Key Deliverables at Project Completion:
  • A well-established master matrix for in-process data collection
  • Predictive models using biocapacitance data to predict cell expansion and/or differentiation
  • Robust models to convert Raman spectra data to 1-3 additional media components
• Key Learnings Expected:
  • Data analysis, visualization, modeling, mining
  • Process analytical technology instrumentation and implementation
  • GMP assay validation strategies
  • Scaling technology from bench scale to production scale
  • Simple cell culture techniques

Qualifications

• Required: Enrolled in an undergraduate Senior or graduate program in Bioinformatics, Data Science, Statistics, Industrial Engineering, Chemical Engineering, or related field
• Required: Capacity to work full-time onsite in Boston, MA
• Required: Legal authorization to work in the United States now and in the future. Vertex does not provide sponsorship for internships or entry-level roles in this part of the organization
• Required: You must be enrolled in an advanced degree program if graduating before December 2026
• Required: You must be available to work full-time, 40 hours per week from July – December 2026
• Preferred: Wet lab experience is a plus but not required

Skills

• Data modeling (regression, supervised machine learning, unsupervised clustering)
• Data engineering
• Data visualization
• Statistical analysis
• Coding (Python, R, or MATLAB)

Education

• Pursuing an undergraduate degree (Senior year) or graduate degree in Bioinformatics, Data Science, Statistics, Industrial Engineering, Chemical Engineering, or related field