Machine Learning Engineer Automated Chromatography Analysis

Job Description

We are seeking a Machine Learning (ML) Expert with experience in chemical data processing to drive AI innovations in analytical chemistry. You will design and deploy Machine Learning solutions for GC-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets.

• Develop AI/ML models for processing mass spectrometry and chromatography data
• Build software solutions to automate chemical data analysis and interpretation
• Integrate ML algorithms into analytical pipelines for chemical property prediction and anomaly detection
• Optimize data structures for high-throughput chemical analysis
• Collaborate with data scientists
• Troubleshoot complex technical issues and optimize software performance
• Additional duties as assigned

• MSc or PhD in Machine Learning, Data Science, Chemistry, or a related field
• Strong programming skills in Python (Pandas, Scikit-learn, PyTorch, Tensor Flow)
• Experience with GC-MS, HPLC-MS and handling large chemical datasets
• Familiarity with cloud-based AI solutions (AWS, Azure, GCP)
• Authorization to work in the United States without restriction or sponsorship

• Experience with Docker, Kubernetes, CI/CD for scalable Machine Learning deployment
• Knowledge of computational chemistry and cheminformatics
• Background in pharmaceutical or industrial chemical analysis

Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.

We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays, paid time off, and dental and vision options.

Eurofins USA Environment Testing is a Disabled and Veteran Equal Employment Opportunity employer.