About the Role
Do you have a background in formulation and drug product development with hands-on lab experience? Are you excited about optimizing experimental workflows through data and automation? We're looking for someone who bridges the lab bench and the digital systems—someone who can understand our processes deeply, identify automation opportunities, and knows how to partner with vendors to bring complex custom solutions to life.
In this role, you will:
- Drive lab automation strategy : Scope, design, and implement automated workflows to increase throughput and data quality in drug product studies
- Enable vendor partnerships : Scope and manage complex custom automation projects with external vendors, translating scientific needs into technical specifications and ensuring successful implementation
- Collaborate across teams : Work with drug development experts, analytics teams, and instrumentation specialists to define requirements for ELN templates, dashboards, and data capture systems that support automated workflows
- Streamline data flows : Contribute to automating data and information flows during experimental studies—from instrument data extraction to system integration, storage and visualization—reducing manual entry and improving data integrity
- Build organizational capability : Share expertise in lab and data automation best practices and help standardize approaches across groups
Why You?
Basic Qualifications
- 3+ years of hands-on experience in lab and data automation
- Lab automation proficiency : Experience with liquid handling platforms (Hamilton or Tecan) design, scope, and execute automated workflows
- Vendor management experience : Track record of working with external vendors on complex custom automation projects, from requirements definition through execution and troubleshooting
- Lab experience : Current or recent hands-on laboratory work in a pharmaceutical, biotech, or analytical chemistry environment
- Data and lab automation mindset: Comfortable with concepts around data automation, data capture architecture, and dashboarding; understanding of how to translate experimental workflows into structured data systems
Preferred Qualifications
- Hands-on experience with laboratory autonomous mobile robots, including integration, configuration, orchestration, and troubleshooting.
- Experience with data management practices in pharmaceutical drug product development
- Proficiency in SQL and one or more programming/analytics languages: Python, JavaScript, R
- Experience designing or implementing data visualization dashboards to support decision-making: RShiny, Spotfire, Tableau
- Familiarity with data extraction from laboratory instrumentation and integration into centralized data systems
- Knowledge of digital lab solutions (ELN best practices, data standards, regulatory considerations in pharma data management)
