Pharmaceutical Robotics Automation Scientist

Eurofins; New London (CT); On-site; USD 70,000 - 110,000; Full time

Benefits offered by this job

Medical, dental, and vision

Life and disability insurance

401(k) with company match

Paid vacation and holidays

Job summary

Eurofins seeks an associate scientist to join the Smart Lab within Drug Product Development. The role focuses on developing and deploying automation and technology processes for pharmaceutical candidates in a laboratory setting.

The successful candidate will design, prototype and test automated systems, enabling data-rich experimentation and ML-driven optimization. Collaboration with scientists and engineers will drive DPD workflows and innovation.

Qualifications

• Master's degree in Robotics, Mechanical Engineering, Computer Science, or closely related field; OR Bachelor's with 2-4 years in a lab setting.
• Strong coding in C/C++ or Python.
• Basic mechanical and electrical troubleshooting skills.

Responsibilities

• Design, prototype and develop laboratory automation solutions for formulation development.
• Assist with design and testing of modular hardware for data-rich experiments.
• Enable use of digital tools for ML and self-optimization to enhance automation.
• Collaborate with internal and external stakeholders to implement automated equipment.
• Innovate with academic and industrial collaborators to identify unmet needs.
• Partner with scientists and engineers on experiments to deliver DPD workflows.
• Implement a robotic control system for orchestration of multiple workstreams.
• Enable data management systems to retrieve, process and store lab data.
• Participate in departmental initiatives and external collaborations to influence impact.

Skills

C/C++

Python

Robotics

Machine vision

Education

MS in Robotics

BS in Robotics/ME/CS with 2-4 years

Job description

Eurofins seeks an associate scientist to join the Smart Lab within Drug Product Development. The role focuses on developing and deploying automation and technology processes for pharmaceutical candidates in a laboratory setting.

The successful candidate will design, prototype and test automated systems, enabling data-rich experimentation and ML-driven optimization. Collaboration with scientists and engineers will drive DPD workflows and innovation.