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Machine Learning Engineer II

Eurofins
Saint Charles, MO, United States (Remote)RemotePosted 5 days ago

Role Overview

Eurofins is hiring a mid-level Machine Learning Engineer II. This is a full-time remote role, with the team based in Saint Charles, MO, United States (Remote). Part of Eurofins's Data Science hiring, posted 5 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Come join our growing team! Eurofins Discovery is highly motivated to apply AI enabled applications, data visualization, cheminformatics, bioinformatics and other data-driven approaches within drug discovery & development at every level of the organization. Given the expanding scope of the Research Informatics group's operations, the successful candidate will have the opportunity to continue to build on the existing team to achieve this goal and be a champion of promoting computational sciences as an integral part of our business.

Research Informatics at Eurofins Discovery plays a fundamental role in advancing understanding of drug discovery data, enabling decision making and driving operational efficiency and supporting commercial initiatives across the organization.  You will be working closely with our scientists to develop innovative approaches that help drive projects and identify solutions for our clients.

 

Here's what you'll do:

  • Represent Informatics as the subject matter expert in cross-functional initiatives, collaborating closely with scientists, data teams and technical stakeholders.
  • Identify and deliver solutions where computational and AI-driven approaches can improve efficiency, decision making, and knowledge utilization across complex workflows.
  • Design, develop and deploy production-ready AI-enabled applications that integrate structured and unstructured data for scalable use.
  • Build and implement retrieval-augmented systems (RAG), semantic search frameworks, and embedding-based data workflows to enable intelligent information retrieval.
  • Develop conversational AI interfaces and agentic architectures that automate knowledge-intensive tasks and support user interaction with complex datasets.
  • Research, design and develop machine learning algorithms, tools and systems;
  • Write structured, tested, readable and maintainable code, as well as participate in code reviews to ensure code quality and distribute knowledge for existing and new tools that allow us to extract, analyze, visualize and produce valued added insights of data for our customers;
  • Independently pursue research projects, implement novel computational workflows and support a dynamic multi-disciplinary team focused on moving projects from the hit identification stage to the discovery of candidates;
  • Perform statistical analysis and fin-tuning using test results;
  • Be actively involved in digital transformation projects and data governance objectives working closely with IT and scientific teams;
  • Ensure proper documentation of workflows, reports, tools, and analyses of the Research Informatics’ team;
  • Provide transparency and regular communication on project status, potential roadblocks for execution, and new strategies with Technology Sciences leadership;
  • Ensure project activities align with Eurofins policies, procedures and methodologies

 

The ideal candidate:

  • Degree in computer science, data science, computational chemistry, bioinformatics or related field.
  • At least 2 years of experience in building and deploying production ready AI-enabled research applications and workflows.
  • At least 2 years programing experience in Python, TypeScript, and full stack application development (Python, FastAPI, React, Streamlit). 
  • Consolidated knowledge on prompt engineering, context engineering LLM frameworks, agentic frameworks, APIs and libraries.
  • Extensive knowledge and experience using chemical and bioinformatics libraries preferably in a drug discovery environment.
  • In depth knowledge of relevant public and proprietary databases, methods and tools.
  • Skilled with relational, non-relational, big data and big data analytics databases.
  • Deep knowledge of math, probability, statistics and algorithms.
  • Ph.D. in Cheminformatics, Bioinformatics or related discipline;
  • Experience with Azure, AWS cloud infrastructure and services.
  • Experience in containerization, orchestration and workflow automation tools such as Docker, Kubernetes and Nextflow.
  • Experience in finetuning and training LLM models.
  • Experience in developing computer vision models using PyTorch.
  • Ability to work in the U.S. indefinitely without sponsorship 

The position is full-time, Monday-Friday, 8 a.m.- 5 p.m., with overtime as needed. 

  • Excellent full time benefits including comprehensive medical coverage, dental, and vision options
  • Life and disability insurance
  • 401(k) with company match
  • Paid vacation and holidays

Eurofins USA Discovery Services is a Disabled and Veteran Equal Employment Opportunity employer.

About Eurofins

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Eurofins

eurofins.com

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Frequently Asked Questions

How do I apply for the Machine Learning Engineer II position at Eurofins?

Use the Apply button above to submit your application directly to Eurofins. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Machine Learning Engineer II role at Eurofins remote?

Yes. This is a remote role. The team is based in Saint Charles, MO, United States (Remote), but the position itself does not require relocating to that office.

What does a Machine Learning Engineer II at Eurofins earn?

Eurofins has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Machine Learning Engineer II role at Eurofins posted?

This role was posted on July 16, 2026 (5 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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