Scientist, Advanced Microscopy (Data Science & TEM)

Company Description

Eurofins EAG Laboratories has over 40 years experience in engineering and materials testing services. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services with a portfolio of over 200,000 validated analytical methods.

At EAG, curiosity fuels everything we do. Every analysis, every test, and every question asked in our labs helps unlock what materials and products are capable of-and what the world can build next. If you're energized by materials science, analytical chemistry, engineering rigor, and solving problems that matter, you'll feel right at home here.

Our scientists and engineers support industries ranging from semiconductors and advanced electronics to pharmaceuticals, medical devices, energy systems, and consumer products. Using advanced techniques in analytical chemistry, microscopy, surface analysis, and engineering sciences, we help clients solve complex challenges across the product lifecycle.

What sets EAG apart isn't just our world-class instrumentation-it's our people. We're problem solvers, collaborators, and lifelong learners who value precision, curiosity, and impact. Here, your work directly influences the safety, reliability, and performance of products used around the globe.

Imagine the possibilities. Let's explore them together

Job Description

Eurofins EAG Laboratories is seeking a Data Scientist to support and advance data-driven analysis across our materials characterization and analytical testing services, with an emphasis on TEM (Transmission Electron Microscopy). This role applies data science, statistics, and machine learning to complex, multi-modal laboratory data generated from a broad range of analytical techniques.

The Data Scientist partners closely with scientists, engineers, and operational teams to improve data quality, automation, insight generation, and analytical capabilities in support of client-driven testing services.

Essential Job Functions:

• Responsible for building algorithms and developing software to automate the TEM data collection and processing using computer science techniques (computer vision, machine learning, etc.).
• Apply data science and machine learning methods to analyze, model, and interpret materials characterization data across multiple analytical techniques, including microscopy, spectroscopy, diffraction, and other physical or chemical testing methods.
• Support the data process from various materials characterization techniques including TEM, SEM, EDS, XRD, XPS and RBS.
• Develop and tune TEM automation on cutting edge TEM microscopes.
• Perform image processing - including image enhancement, segmentation, measurement and visualization on 2D and 3D data sets.
• Proactive in developing new TEM technologies (such as 4D STEM) to meet new demands from customers.
• Collect S/TEM, EDS/EELS data and prepare reports per instructions.
• Support TEM jobs including S/TEM, EDS/EELS.
• Develop and maintain data analysis workflows and pipelines that improve efficiency, reproducibility, and scalability of laboratory data processing.
• Perform statistical analysis, feature extraction, and exploratory data analysis to identify trends, anomalies, and correlations in experimental data.
• Build, validate, and document predictive or classification models to support materials characterization, failure analysis, process optimization, and customer reporting.
• Collaborate with laboratory scientists and engineers to translate experimental and customer questions into data-driven solutions.
• Support automation and standardization of data collection, processing, and reporting where appropriate.
• Communicate analytical results clearly to technical and non-technical stakeholders.
• Contribute to continuous improvement initiatives related to analytical capabilities, data infrastructure, and quality systems.

Work Schedule: Wednesdays to Sundays or Saturdays to Wednesdays. (Weekend shift differential will apply.)

Thisposition works with companies that deal with defense-related activities and is subject toITAR(International Traffic in Arms Regulations).

All considered applicants must be U.S. Persons as defined by ITAR: U.S. Citizen, U.S. Permanent Resident (i.e. "Green Card Holder"), or Political Asylee or Refuge.

Qualifications

Job Requirements:

• MS or PhD in Materials Science, Data Science, Engineering, Physics, Chemistry, or a related field.
• Strong background in TEM principles, operation of S/TEM, EDS/EELS, and automation.
• Demonstrated experience applying data science or statistical methods in a laboratory, engineering, or applied science environment.
• Proficiency in Python and common scientific data analysis libraries (e.g., NumPy, Pandas, SciPy, scikit-learn).
• Experience working with experimental, sensor, image, spectral, or time-series data.
• Strong written and verbal communication skills.

Job Knowledge, Skills, and Ability:

• Strong foundation in statistics