Biologics MSAT Co-op: Data Analytics & Impact

Vertex Pharmaceuticals LLC; Boston (MA); Presencial; USD 25 000 - 44 000; Tempo parcial

Resumo da oferta

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.

Qualificações

• Pursuing BS or MS in chemical engineering or related science field.
• Strong analytical and problem-solving abilities.
• Experience handling data in Excel; familiarity with BI or statistical tools.
• Ability to collaborate with cross-functional teams.

Responsabilidades

• Work with Biologics MSAT and cross-functional partners on data analytics projects for biologics manufacturing.
• Compile, clean, organize, and analyze manufacturing, process, and product quality data.
• Develop repeatable data workflows, dashboards, and summaries for monitoring.
• Perform trend analyses to identify variability and improvement opportunities.
• Support development and maintenance of analytics tools and reporting approaches.
• Document methods, data sources, and conclusions clearly.
• Communicate results to cross-functional teams and translate questions into workplans.

Conhecimentos

Analytical thinking

Problem-solving

Team collaboration

Formação académica

BS or MS in chemical engineering or related field

Ferramentas

Excel

Power BI

Python

R

JMP

Minitab

Descrição da oferta de emprego

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.