Scientist – TEM Automation & Data Workflows

Eurofins•Phoenix, AZ

2d•$115,000 - $130,000•Onsite

About The Position

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.

Requirements

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
U.S. Persons, defined as: U.S. Citizen, U.S. Permanent Resident (Green Card holder), Political Asylee or Refugee

Nice To Haves

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)

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)