Senior Scientist I, Automation Development

What you'll do

• Develop and implement automated and data-enabled workflows to accelerate decision-making in early development sciences.
• Profile physicochemical properties of compounds to assess developability and inform pipeline decisions.
• Design and execute preclinical formulation strategies for traditional small molecules and complex modalities like PROTACs.
• Build and optimize integrated laboratory processes using automation, assay miniaturization, and automated data capture.
• Establish structure-property-performance correlations to ensure robust commercial manufacturing and regulatory compliance.
• Generate and structure high-quality data in a traceable manner to support predictive modeling and AI/ML applications.
• Identify solutions for in vivo absorption challenges across multiple routes of administration.
• Transition drug substance isolation processes and characterization methods to commercial manufacturing sites.

What we're looking for

• Bachelor's degree requires experience; Master's requires ; Ph.D. requires experience in pharmaceutical or related industries.
• Preferred educational backgrounds include Pharmaceutical Sciences, Pharmaceutical Engineering, Chemical/Biomedical Engineering, Chemistry, and Materials Science.
• Hands-on experience is required in assay development, automation, and workflow optimization to design scalable laboratory processes.
• Experience with preclinical formulation strategies and screening for emerging or complex modalities is preferred.
• Familiarity with physicochemical property assessment related to CMC developability and risk mitigation is preferred.
• Experience with automated data capture, laboratory instrumentation integration, and assay miniaturization is desired.
• Ability to generate, structure, and capture data in a consistent manner to support predictive modeling and AI/ML applications.
• Experience collaborating with data scientists, computational chemists, or informatics partners.