A complete application in a minute
Tailored resume and cover letter, ready to send.
Vertex is seeking a Biologics MSAT Co-Op for a 6-month program to gain practical experience in data analytics for biologics manufacturing. You will work with cross-functional partners to translate technical questions into analytical workplans and deliver data-driven insights.
You will compile, clean, and analyze manufacturing data, develop dashboards, and document methods and conclusions. Strong analytical skills and familiarity with Excel, Power BI, Python or R are helpful.
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’llwork on meaningful projects, collaborate with talented teams, and learn from industry leaders.We’repassionate about innovation, inclusion, and supporting your growth-inside and outside the lab.
Real Projects:You’llwork 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.
The Vertex Biologics, MSAT Co-Op is a 6-month experiential training program for students currently working towards a undergraduate degree or advanced degree in chemical engineering, biochemical engineering, data science, statistics, biology, chemistry, 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 PD Media Development functional areas and serve as a launchpad for your career.
The application deadline for this co-op is November 15th. 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.
Vertex is a global biotechnology company focused on discovering, developing, and commercializing innovative medicines for people with serious diseases. The Biologics Manufacturing Science and Technology (Biologics MSAT) group provides technical and analytical support for biologics products across commercialization and manufacturing. The co-op will support data analytics workstreams that improve process understanding, manufacturing performance monitoring, and data-driven decision making.
The co-op will work within Biologics MSAT and with cross-functional partners on data analytics projects supporting biologics manufacturing and commercialization.
Compile, clean, organize, and analyze manufacturing, process, and product quality data from multiple sources.
Develop repeatable data workflows, dashboards, visualizations, and statistical summaries to support process monitoring and technical investigations.
Perform trend analyses to identify process variability, emerging signals, and opportunities for improvement.
Support the development and maintenance of data analytics tools and standardized reporting approaches for Biologics MSAT.
Document analytical methods, assumptions, data sources, and conclusions in a clear and traceable manner.
Collaborate with Biologics MSAT, Manufacturing, Quality, Process Development, and other cross-functional partners to translate technical questions into analytical workplans and communicate results
Education: Pursuing a BS or MS in chemical engineering, biochemical engineering, data science, statistics, biology, chemistry, or a related discipline
Strong analytical, critical thinking, and problem-solving skills
Experience working with data in Microsoft Excel; exposure to statistical or visualization tools such as JMP, Minitab, Power BI, Python, or R is preferred
Ability to