Associate Principal Scientist

Associate Principal Scientist

Lonza

Slough, United Kingdom

Be a crucial part of Lonza AG's growth by joining as an Associate Principal Scientist in Slough, UK, focusing on PCR and NGS assay development.

Key responsibilities:

• Plan, implement, and report on PCR and NGS assay development to support bioprocess testing.
• Collaborate with laboratory scientists and other collaborators to grasp challenges and requirements, suggesting and putting into action new analytical assays.
• Provide technical support and training to other scientists on the use and execution of PCR and/or NGS assays.
• Lead or support complex technology or process/product development projects, defining scope and timelines, crafting, planning, and completing studies, and drawing conclusions through detailed data analysis.
• Independently craft and complete complex studies, analyzing data to achieve project targets with clear management of uncertainties.
• Convert project targets and plans into highly specific study plans with associated timelines.
• Maintain accurate and timely records to appropriate quality standards for self and team, preparing high-quality technical analyses and reports.
• Share projects with collaborators and at external conferences.
• Understand the application of PCR and NGS within the analytical department, continually building expertise in assigned functions.
• Develop an understanding of CDMO operations, GMP requirements, and the competition and IP landscape relevant to the project.
• Foster and maintain strong working relationships with key project team partners, actively nurturing connections within the group.
• Demonstrate strong ownership of deliverables, supporting and contributing to the culture of innovation within the team.

Key requirements:

• PhD or M.S. and equivalent experience in Life Science or a related field.
• Strong scientific knowledge in developing and completing PCR and NGS assays.
• Proven ability to develop complex scientific concepts and apply them to practical problems.
• Ability to perform complex data analyses and integrate different lines of analysis into logical conclusions.
• Proficient in English, with excellent communication skills.
• Willingness to continually build knowledge and contribute actively to the innovation process.

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