Associate Scientist (Innovation)

About the Role

Join a highly collaborative team at Pfizer, dedicated to delivering breakthroughs that transform patients' lives through advanced science and cutting-edge technologies. This role supports the modernization of assay workflows and continuous improvement initiatives by developing, evaluating, and implementing scientific and automation-driven solutions. You will work at the intersection of bench science, process optimization, and emerging technologies.

Key Responsibilities

• Contribute to the evaluation and implementation of new laboratory technologies, including automation, digital tools, and AI-enabled solutions for data analysis or workflow improvement.
• Support assay development, optimization, and troubleshooting activities, including experimental execution, data collection, and interpretation.
• Perform laboratory activities according to Standard Operating Procedures (SOPs) and established best practices, while supporting innovation-focused projects.
• Support documentation practices, including review of protocols, SOPs, and data archiving.
• Collaborate cross-functionally with scientists, automation specialists, and quality partners to ensure improvements are scientifically sound and compliant.
• Present results, experimental findings, or technology evaluations at group and project meetings; contribute to written summaries or progress updates.

Requirements & Tech Stack

• Hands-on laboratory experience including basic assay execution, pipetting, data collection, and experimental documentation.
• Demonstrated interest in innovation, automation, or process improvement.
• Early adopter mindset to pilot and champion emerging tools.
• Experience with laboratory robotics or automation for assay and workflow efficiency.
• Strong attention to detail and commitment to data quality.
• Ability to work effectively in a collaborative team environment.
• Strong written and verbal communication skills.
• Proficiency with Microsoft Word, Excel, and PowerPoint.
• Experience using common AI tools, including generative technologies such as ChatGPT or Microsoft Copilot, to support problem-solving and enhance productivity.
• Demonstrated curiosity for exploring how these tools can improve outcomes and understanding of responsible AI practices, including risk management and ethical use.

Qualifications

• BA/BS in a life science or related field with 0-2 years of laboratory experience.

Nice-to-Have

• Experience with assay development or optimization.
• Familiarity with LIMS, ELN, or data management systems.
• Experience with SOP development, method optimization, or assay transfers.
• Pharmaceutical or biotech industry experience.