Machine Learning Engineer - Automated Chromatography Analysis

Eurofins Scientific • Houston, TX

34d

About The Position

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.

Requirements

• MSc or PhD in Machine Learning, Data Science, Chemistry, or a related field
• Strong programming skills in Python (Pandas, Scikit-learn, PyTorch, TensorFlow)
• 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

Nice To Haves

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

Responsibilities

• 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

Benefits

• comprehensive medical coverage
• life and disability insurance
• 401(k) with company match
• paid holidays
• paid time off
• dental and vision options

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees