Scientist - TEM Automation & Data Workflows

Responsibilities

• Design, build, and implement automation workflows directly on S/TEM systems (data acquisition, instrument control, and workflow scripting)
• Develop and maintain automated pipelines for TEM data collection and analysis
• Perform image processing (segmentation, enhancement, measurement, visualization) on 2D and 3D datasets
• Apply computer vision, statistics, and machine learning to microscopy and analytical data
• Work with multi-modal materials characterization data (TEM, SEM, EDS, XRD, XPS, RBS, etc.)
• Improve throughput, repeatability, and data quality of TEM-based services
• Build tools for data processing, feature extraction, and exploratory analysis
• Partner with lab teams to translate real-world analytical problems into automated solutions
• Support S/TEM operation and data collection, including EDS/EELS where needed
• Contribute to new TEM capabilities (e.g., 4D STEM, advanced imaging workflows)
• What Success Looks Like (First 6-12 Months)
• Implement or improve automation workflows used in production TEM work
• Reduce manual intervention in data collection and analysis
• Increase throughput and consistency of TEM services
• Build usable tools and pipelines that lab teams adopt
• Work Schedule
• Wednesday-Sunday or Saturday-Wednesday
• Weekend shift differential applies
• Compliance Requirement (ITAR)
• This position supports work related to defense applications and is subject to ITAR regulations.
• Applicants must be U.S. Persons, defined as:
• U.S. Citizen
• U.S. Permanent Resident (Green Card holder)
• Political Asylee or Refugee
• Required Qualifications:
• MS or PhD in Materials Science, Physics, Engineering, or related field
• Hands-on S/TEM experience, including real-world data collection
• Experience developing or implementing automation for TEM or similar instrumentation (e.g., scripting acquisition, using vendor APIs, workflow automation)
• Strong Python programming skills Ability to build analysis tools, not just basic scripts
• Experience applying data science, statistics, or computer vision to experimental data
• Experience working with materials-focused systems (e.g., semiconductors, metals, ceramics, failure analysis)
• Experience with EDS (not just exposure to EELS)
• Ability to work in a fast-paced, production lab environment

Requirements

• Experience with machine learning applied to imaging or scientific datasets
• Familiarity with deep learning frameworks (PyTorch, TensorFlow)
• Experience with TEM automation frameworks or vendor APIs
• Experience with large-scale or high-throughput data pipelines
• Exposure to 4D STEM or advanced TEM techniques
• Experience working with multi-modal data (image, spectral, time-series)
• Physical Requirements:
• Ability to continuously operate a personal computer or lab equipment for extended periods of time (4 or more hours).
• Ability to operate a keyboard and other lab equipment, use a telephone, access file cabinets and other items stored at various levels, including overhead.
• Must be able to remain in a stationary position 80% of the time.
• Ability to communicate clearly and understandably ensure an accurate exchange of information in normal conversational distance, over the telephone, and in a group setting.
• Ability to handle small and fragile devices with tweezers and /or fingers.
• Require close distance visual acuity with or without correction (Glasses, Contacts, etc.)
• Must be willing and able to wear PPE such as hard-hat, steel-toed shoes, safety glasses, laboratory coat and/or any other devices or equipment that is required.
• Learn new tasks, remember processes, maintain fo

Benefits

Additional Information

Phoenix, AZ | Weekend Shift Eligible Eurofins EAG Laboratories is seeking a hands-on Transmission Electron Microscopy (TEM) Scientist who also has strong experience building automation, scripting, or data workflows for microscopy data . This is a specialized, hybrid role combining advanced TEM operation and applied automation/data science in a production laboratory environment. This role requires both : Hands-on experience operating TEM/STEM systems for materials characterization AND hands-on experience building or implementing automation, scripting, or data workflows (e.g., Python, DigitalMicrograph, ImageJ, or similar tools) Candidates with experience in only one of these areas will not be considered. The Scientist will collaborate closely with engineers, scientists, and operations teams to translate laboratory requirements into practical, scalable automation solutions and data workflows. This role is centered on materials science applications within an analytical laboratory setting. The position requires experience aligned with materials characterization and non-biological systems, which are most relevant to the work performed. Responsibilities include a combination of hands-on laboratory execution and applied programming, rather than work that is solely research- or theory-based. Work is conducted in a client-driven analytical services environment, requiring solutions that are practical, scalable, and reproducible.

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