R&D Automation Engineer
Regeneron
Full-time
Remote friendly (Tarrytown, NY)
United States
Operations
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Role Summary
R&D Automation Engineer responsible for transforming validated benchtop assays into automated high-throughput processes within the Automation Core. Collaborates with Regeneron researchers to support therapeutic focus areas and core technology groups in Research & pre-clinical Development. Applies latest automation technologies in a fast-paced, team-oriented environment.
Responsibilities
- Creating, modifying, and troubleshooting robotic methods on liquid handling devices (e.g., Hamilton STAR) and integrated systems (e.g., HighRes Biosolutions), including supporting devices.
- Conducting validation testing of developed protocols to ensure qualification for release into operations.
- Transferring and revalidating established processes to other Automation Core systems.
- Working with instrument vendors and internal system support to implement hardware/software upgrades and changes to existing platforms.
- Providing hands-on training to team members on new equipment, methods, and procedures.
Qualifications
- Required: Minimum Bachelor’s/Master’s in life science, engineering, computer science, or related field with 3–5+ years of experience working with automation systems in a research laboratory environment.
- Preferred: Wet lab experience and understanding of molecular biology, genomics, or cell-based assays.
- Required: Experience in programming and operating liquid handling methods.
- Preferred: Programming in Venus and developing/implementing methods utilizing Cellario.
- Desirable: Knowledge of Python and C#, robotic integrations, and databases.
- Beneficial: Familiarity with laboratory devices from Azenta, Agilent, Inheco, Revvity, etc.
Skills
- Strong problem-solving and troubleshooting abilities.
- Excellent written and verbal communication.
- Ability to work independently with some supervision and manage multiple projects across development stages.
- Collaborative mindset for cross-functional teamwork in a dynamic research environment.
- Passion for laboratory automation technologies and integration projects.
Education
- Bachelor’s or Master’s degree in life science, engineering, computer science, or related field.
Additional Requirements
- No explicit travel or physical demands listed as essential.