Lab Automation Engineer (Part-Time) - Organoids & Robotics

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 34,000 - 55,000; Part time

Benefits offered by this job

Competitive compensation

Benefits for employees

Pittsburgh bus pass

Tuition benefits

Job summary

Carnegie Mellon University’s Engineered Morphogenesis Group seeks a Laboratory Automation Engineer (Part-Time / Intern, 20 hours/week) to advance automated workflows for high-throughput cell and organoid culture in CMU’s Cloud Lab. The role blends robotics, tissue engineering, and data-driven optimization in a collaborative setting on the Pittsburgh campus.

The ideal candidate is pursuing or recently completed an MS in CS, BME, or ME, with experience in machine learning models and lab

Qualifications

• Proficiency in constructing machine learning models for describing and predicting experimental outcomes.
• Prior experience in laboratory automation for life sciences is highly desirable.
• Prior experience with cell and tissue culture is desirable but not required.
• Currently pursuing or recently completed an MS degree in Computer Science, Biomedical Engineering, Mechanical Engineering, or a related field.

Responsibilities

• Learn the fundamentals of cell and organoid culture.
• Learn and use automation technologies available in the Cloud Lab, including hardware and software systems.
• Integrate automation technologies into existing workflows with emphasis on throughput and reproducibility.
• Synthesize and analyze data from automated experiments to inform workflow improvements.
• Collaborate with cell culture teams to develop and integrate automated workflows.

Skills

Machine learning models

Laboratory automation

Education

MS degree in CS/BME/ME or related

BS degree in related field

Tools

Automation hardware/software

Job description

Carnegie Mellon University’s Engineered Morphogenesis Group seeks a Laboratory Automation Engineer (Part-Time / Intern, 20 hours/week) to advance automated workflows for high-throughput cell and organoid culture in CMU’s Cloud Lab. The role blends robotics, tissue engineering, and data-driven optimization in a collaborative setting on the Pittsburgh campus.

The ideal candidate is pursuing or recently completed an MS in CS, BME, or ME, with experience in machine learning models and lab