Scientist – Analytical Development, GPD

Role Summary

Analytical Development Scientist to expand analytical capabilities for complex inhalation products within the AstraZeneca Global Product Development (GPD) organization. The role involves routine analytical testing, method development/optimization exposure, and collaboration across functions to support development through commercialization. Location: Durham, NC, USA.

Responsibilities

• Manages own work to ensure targets are met in a timely manner and to agreed quality standards, communicating progress appropriately.
• Performs relevant experiments and interprets results based on standard methodologies in collaboration with formulation and/or device teams.
• Able to identify aberrant data and effectively communicate with project teams.
• Support development work for automation to manual methods for inhalation products (e.g., Delivered Dose Uniformity, aerodynamic particle size).
• Support technical and scientific review of data generated by peers.
• Identify and lead continuous improvement efforts to streamline laboratory operations and eliminate waste, ensuring GMP/GxP compliance.
• Champion laboratory automation technologies to improve efficiency and reliability in sample preparation, method execution, and data analysis.
• Demonstrate interest in leveraging AI/ML and other data science tools to enhance analytical results interpretation and workflow performance.

Qualifications

• Required: Bachelor‚Äôs degree with 3+ years of experience, or Master‚Äôs degree with 0+ years of experience, in Chemistry, Pharmaceutical Sciences, or closely related field.
• Required: Strong background in analytical methodologies for inhalation dosage forms.
• Required: Hands-on experience with HPLC/UPLC, moisture analyzer, and mass spectrometry.
• Required: Proficiency with analytical software such as Empower, TIA/TOI, ELN.
• Required: Hands-on proficiency with workflow optimization.
• Required: Experience with GMP/GxP regulated environment; excellent organizational, problem-solving, and collaborative communication skills.

• Preferred: Exposure to analytical methodologies for portfolios across modalities/dosage formats (including oral solid and inhaled products).
• Preferred: Familiarity with data science tools, including AI/ML, to advance analytical interpretation and data flow.
• Preferred: Experience collaborating in cross-functional global teams.

Skills

• Analytical problem-solving and data analytics
• Laboratory automation and process optimization
• Effective communication and collaboration
• Adaptability to cross-functional, global teams
• Interest in AI/ML and data science applications in analytics

Education

• Bachelor‚Äôs degree with 3+ years experience, or Master‚Äôs degree with 0+ years experience, in Chemistry, Pharmaceutical Sciences, or closely related field.