Data Scientist, Materials Analysis at Eurofins

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. Supervisory Responsibilities:  This position has no direct supervisory responsibilities.  This position works with companies that deal with defense-related activities and is subject to ITAR (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.