ML Scientist: Antibody Modeling & AI Platform

Enpicom; 's-Hertogenbosch; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work arrangement

Competitive salary

Job summary

ENPICOM is seeking a Machine Learning Scientist to join our Bioinformatics & AI team in 's-Hertogenbosch, the Netherlands. You will help develop ML models that speed up discovery and optimization of therapeutic antibodies, and turn those models into reliable tools on the ENPICOM platform.

The role blends deep problem understanding with practical deployment, including AI agents that carry out analysis steps.

Qualifications

• MSc or PhD in ML, CS, bioinformatics or related field (or equivalent hands-on experience).
• Experience applying ML to real problems in industry or academia.
• Solid Python skills and PyTorch experience.
• Strong statistics, model evaluation, and experiment design.
• Clear English communication and collaborative attitude.

Responsibilities

• Evaluate, adapt, and train deep learning models for antibody engineering tasks.
• Compare published and in-house models on our data and decide which to bring to the platform.
• Package, version, monitor, and keep services running over time.
• Help build AI features on the ENPICOM platform, including agent-based tools.
• Design sound experiments and use statistics to check whether a model works.
• Collaborate with bioinformaticians and scientists to explain results clearly.
• Stay up-to-date on ML methods for proteins and antibodies and share learnings.
• Mentor junior colleagues and interns.

Skills

Python

PyTorch

Statistics

English communication

Version control

Collaboration

Education

MSc or PhD in machine learning, computer science, bioinformatics, computational biology, physics or a related field

Tools

Docker

Job description

ENPICOM is seeking a Machine Learning Scientist to join our Bioinformatics & AI team in 's-Hertogenbosch, the Netherlands. You will help develop ML models that speed up discovery and optimization of therapeutic antibodies, and turn those models into reliable tools on the ENPICOM platform.

The role blends deep problem understanding with practical deployment, including AI agents that carry out analysis steps.