GMP Process Lead – Associate Scientist II

tsu.edu; Houston (TX); On-site; USD 59,000 - 111,000; Full time

Job summary

AbbVie is seeking an Associate Scientist II to independently generate precise, reliable, and reproducible data in late-stage and commercial GMP manufacturing settings at AbbVie. The role emphasizes technical leadership, data interpretation, and collaboration with cross-functional teams to drive process improvements.

The candidate should have a Bachelor's or Master’s degree with relevant experience and be prepared to contribute to validation, process verification, and technical transfers across

Qualifications

• Bachelor's Degree or Master's Degree; typically 3+ years' experience for Bachelor's or equivalent education.
• Theoretical and practical knowledge to carry out job function.

Responsibilities

• Serve as downstream technical lead for late-stage and commercial GMP manufacturing processes.
• Author validation protocols/reports and technical assessments to support process performance qualification and continuous process verification.
• Collect and organize process data to perform process monitoring and statistical data analysis.
• Communicate and present work.
• Collaborate with cross-functional teams to resolve technical challenges.
• Provide on-the-floor support of GMP manufacturing operations to support investigations and identify areas for process improvements.
• Perform root cause analyses, author impact assessments, and propose corrective and preventive actions in response to nonconformities/deviations.
• Manage relationships with contract manufacturing clients.
• Support technical transfers and scale-up of GMP manufacturing processes.
• Perform laboratory-scale studies to support investigations or process improvements as needed.

Education

Bachelor's Degree or Master's Degree

Job description

AbbVie is seeking an Associate Scientist II to independently generate precise, reliable, and reproducible data in late-stage and commercial GMP manufacturing settings at AbbVie. The role emphasizes technical leadership, data interpretation, and collaboration with cross-functional teams to drive process improvements.

The candidate should have a Bachelor's or Master’s degree with relevant experience and be prepared to contribute to validation, process verification, and technical transfers across