What are the responsibilities and job description for the Machine Learning Engineer - Automated Chromatography Analysis (EFT) position at Eurofins Medinet?
Company Description
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.
Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.
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 f-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets.
Job Duties:
Qualifications
Basic Minimum Qualifications:
Ideal Candidate will have:
Additional Information
Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. 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.
We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development.
We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.
Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal!
Find out more in our career page:
Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate.
Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies.
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 f-MS, and HPLC-MS, data, working alongside scientists and engineers to extract valuable insights from complex datasets.
Job Duties:
- 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
Qualifications
Basic Minimum Qualifications:
- 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, Google Cloud Platform)
- Authorization to work in the United States without restriction or sponsorship
Ideal Candidate will have:
- Experience with Docker, Kubernetes, CI/CD for scalable Machine Learning deployment
- Knowledge of computational chemistry and cheminformatics
- Background in pharmaceutical or industrial chemical analysis
Additional Information
Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.
As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work. 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.
We support your development! Do you feel you don't match 100% of the requirements? Don't hesitate to apply anyway! Eurofins companies are committed to supporting your career development.
We embrace diversity! Eurofins network of companies believe in strength and innovation through diversity, being an Equal Opportunity Employer. We prohibit discrimination against employees or applications based on gender identity and/or expression, race, nationality, age, religion, sexual orientation, disability, and everything else that makes employees of Eurofins companies unique.
Sustainability matters to us! We are well on our way to achieving our objective of carbon neutrality by 2025, through a combination of emission reduction and compensation initiatives. We encourage our laboratory leaders to make sustainable changes at their local level, and in addition to their initiatives we also count on our dedicated carbon reduction team to help us to achieve this goal!
Find out more in our career page: