Vertex Fall Co-op 2026, Analytical Development

Vertex Pharmaceuticals•Boston, MA

2d•$20 - $35•Onsite

About The Position

The Vertex Analytical Development Co-Op program is a 6-month experiential training program for students currently working towards undergraduate or advanced degree in Bioinformatics, Data Science, Statistics, Industrial Engineering, Chemical Engineering, or other related fields. If you are passionate, collaborative, and growth-minded, a co-op at Vertex will help you gain meaningful experience in our analytical development functional areas and serve as a launchpad for your career. The application deadline for this role is April 3rd, 2026. Please note that Vertex reviews applications on a rolling basis and reserves the right to close this job posting prior to the listed deadline.

Requirements

Enrolled in an undergraduate as a Senior or graduate program in Bioinformatics, Data Science, Statistics, Industrial Engineering, Chemical Engineering, or another related field
Data modeling (regression, supervised machine learning, unsupervised clustering), data engineering, data visualization, statistical analysis, coding (Python, R, or MATLAB).
Capacity to work full-time onsite 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 enrolled in an advanced degree program if graduating before December 2026
You must be available to work full-time, 40 hours per week from July – December 2026

Nice To Haves

Wet lab experience is a plus but not required.

Responsibilities

Data-drive insights for advancing PATs for cell and gene therapy manufacturing: The co-op will focus on organizing and mining process data to uncover insights, with projects including 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.