Senior CQV Engineer

As a Senior CQV Engineer, you will be responsible for developing and implementing data-driven solutions to drive quality and validation in a pharmaceutical context. You will work closely with cross-functional teams to design, develop, and deploy data analysis and machine learning models to improve process efficiency and quality. You will also be responsible for ensuring compliance with regulatory requirements and industry standards. The ideal candidate will have a strong background in data analysis, machine learning, and AWS, with experience in SQL and data visualization tools. If you are a detail-oriented and analytical individual with a passion for data-driven decision making, we encourage you to apply for this exciting opportunity.

Key Responsibilities:

• Develop and implement data-driven solutions to drive quality and validation in a pharmaceutical context.
• Design, develop, and deploy data analysis and machine learning models to improve process efficiency and quality.
• Work closely with cross-functional teams to ensure compliance with regulatory requirements and industry standards.
• Collaborate with data scientists and engineers to develop and implement data visualization tools.
• Stay up-to-date with industry trends and emerging technologies in data analysis and machine learning.

Requirements:

• 5+ years of experience in data analysis, machine learning, and AWS.
• Strong background in SQL and data visualization tools.
• Experience with Python and/or R programming languages.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and prioritize multiple tasks.