Vertex Spring Co-Op 2027, Biologics MSAT

Scorpion Therapeutics; Boston (MA); Hybrid; USD 3,444,000 - 4,408,000; Full time

Benefits offered by this job

Co-op program (Jan–Jul 2027)

Hybrid work in Boston

40 hrs/week

Job summary

Vertex is seeking a Biologics MSAT Co-op to support manufacturing data analytics, enhance process understanding, and monitor performance. The role focuses on data-driven insights and cross-functional collaboration in a biotech setting.

The position is a full-time, 40-hour week internship from January to July 2027, with a hybrid work arrangement based in Boston. Strong analytical, communication, and data skills are essential.

Qualifications

• Pursuing BS or MS in chemical engineering, biochemical engineering, data science, statistics, biology, or chemistry
• Strong analytical, problem-solving, and communication skills
• Experience with Excel
• Exposure to JMP, Minitab, Power BI, Python or R preferred
• Capable of organizing and presenting complex data

Responsibilities

• Compile, clean, analyze manufacturing data
• Develop dashboards, visualizations, and statistical summaries
• Identify process variability and opportunities for improvement
• Support analytic tool development
• Document methods and collaborate across functions including Manufacturing, Quality, and Process Development

Skills

Analytical skills

Problem solving

Communication

Excel experience

Education

BS or MS in relevant field

Tools

JMP

Minitab

Power BI

Python

R

Job description

Role: Biologics MSAT Co-Op supporting manufacturing data analytics at Vertex, focusing on process understanding and performance monitoring.

Responsibilities

• compile, clean, analyze manufacturing data
• develop dashboards, visualizations, and statistical summaries
• identify process variability and opportunities for improvement
• support analytic tool development
• document methods and collaborate across functions including Manufacturing, Quality, and Process Development

Requirements

• pursuing a BS or MS in chemical engineering, biochemical engineering, data science, statistics, biology, or chemistry
• strong analytical, problem-solving, and communication skills
• experience with Excel
• exposure to tools like JMP, Minitab, Power BI, Python, or R preferred
• capable of organizing and presenting complex data

HighValue: biologics manufacturing support, data analytics, process monitoring, cross-functional collaboration, full-time (40 hrs/week), January–July 2027, hybrid (Boston).