QC Automation Intern: Data-Driven Lab Optimizer

AstraZeneca; Macclesfield; On-site; GBP 24,000 - 32,000; Full time

Benefits offered by this job

Bonus & Flexible Benefits

Job summary

AstraZeneca invites applications for a 12-month University Industrial Placement Student (UIPS) in QC Automation. Based in Macclesfield, UK, the role offers £28,000 base salary plus bonus and flexible benefits.

You’ll join the Analytical Technical Team within Quality Control to explore automation ideas and support productivity initiatives. Ideal candidates are pursuing an undergraduate or integrated master's in Science/IT/Data Science/Engineering, with a passion for technology and data-driven

Qualifications

• Undergraduate or integrated master’s degree in Science, IT, Data Science or Engineering.
• Interest in Quality function within pharma.
• Proactive, data-driven decision maker.
• IT literate with enthusiasm for new tech.

Responsibilities

• Look for creative solutions to improve productivity, sustainability and efficiency in the QC laboratory.
• Plan and execute a “proof of concept” or feasibility study of your own design, to support key strategic improvements.
• Utilise project management tools for implementing the study.
• Leverage problem solving tools to overcome challenges and optimise performance.
• Engage with key stakeholders and provide regular updates on progress.

Skills

Data-driven decisions

Team player

IT literacy

Education

Undergraduate or Integrated Master’s in Science/IT/Data Science/Engineering

Tools

Project management tools

Problem solving tools

Data analysis tools

Job description

AstraZeneca invites applications for a 12-month University Industrial Placement Student (UIPS) in QC Automation. Based in Macclesfield, UK, the role offers £28,000 base salary plus bonus and flexible benefits.

You’ll join the Analytical Technical Team within Quality Control to explore automation ideas and support productivity initiatives. Ideal candidates are pursuing an undergraduate or integrated master's in Science/IT/Data Science/Engineering, with a passion for technology and data-driven