MSAT Scientist, Analytical

Responsibilities

• Transfer, qualify, verify, and validate analytical methods to support manufacturing scale-up.
• Design, develop, and optimize analytical methods to improve sensitivity, specificity, and robustness.
• Conduct feasibility assessments for new technologies, including PAT and inline monitoring.
• Execute testing for engineering and technical batches and generate high-quality protocols and reports.
• Provide manufacturing support and troubleshooting to resolve technical issues and align with regulatory requirements.
• Maintain product and process analytics history to inform control strategies and continuous improvement.
• Uphold site EHS policies and ensure compliance with cGMP/GLP standards.

Requirements

• Degree in Life Sciences, Chemistry, Analytical Science, or Engineering.
• Experience in (bio)pharmaceutical manufacturing, method development, or process engineering.
• Hands-on experience with bio-analytical techniques and methodologies for biologicals.
• Proven knowledge of cGMP/GLP requirements and implementation of standard methodologies.
• Ability to work in a lab environment, including handling biological and hazardous materials.
• Ability to travel up to 10%.

Preferred Qualifications

• Experience with PAT, inline/online monitoring, spectroscopy, or rapid analytical approaches.
• Proficiency in chromatographic and bioanalytical platforms (e.g., HPLC/UPLC, LC-MS, CE-SDS, icIEF, ELISA, qPCR).
• Demonstrated use of Design of Experiments (DoE), data visualization, and multivariate analysis.
• Familiarity with LIMS, ELN, and data integrity principles.
• Background in technology transfer, comparability, and validation documentation.
• Strong understanding of protein chemistry, stability, and degradation pathways.

About the Company

AstraZeneca is a science-led global biopharmaceutical company that works to deliver life-changing medicines. We combine the energy of a nimble biotech with the reach of a global leader, investing in modern platforms and diverse talent to accelerate the path from complex data to patient therapies.