ML Scientist for Bioinformatics & Drug Discovery Platform

BioLib; København; Hybrid; DKK 800,000 - 1,300,000; Full time

Benefits offered by this job

Lunch the team

Pension

Private health insurance

Public transport

Job summary

BioLib is seeking a Machine Learning Scientist to bridge biology and AI, developing and deploying models on diverse biological data to accelerate discoveries in medicine. You will translate researchers’ questions into robust, scalable ML solutions on our platform.

You will collaborate with scientists and pharma partners, publish open source work, and contribute to shaping BioLib's scientific roadmap while working with Python-based production code and PyTorch.

Qualifications

• A degree in Machine Learning, Computer Science, Bioinformatics, Computational Biology or a biology-related field.
• Hands-on experience building and training ML models, preferably with PyTorch.
• Proficiency writing production-quality Python code.
• Experience with biological data and understanding of underlying biology.
• Publications or open source projects demonstrating work.
• Enjoys collaborating with scientists to translate needs into practical solutions.

Responsibilities

• Develop, train and evaluate machine learning models on biological data such as protein sequences, structures and omics datasets.
• Deploy models as scalable applications on the BioLib platform, making them accessible to scientists worldwide.
• Apply and adapt state-of-the-art methods, including protein language models and generative AI.
• Collaborate directly with researchers and pharma partners to translate scientific questions into robust machine learning solutions.
• Help shape the scientific direction of the platform and bring the newest methods in the field to our users.

Skills

Machine learning

Python

PyTorch

Biology data

Open source/publications

Education

Machine Learning / CS / Bioinformatics degree

Tools

PyTorch

Job description

BioLib is seeking a Machine Learning Scientist to bridge biology and AI, developing and deploying models on diverse biological data to accelerate discoveries in medicine. You will translate researchers’ questions into robust, scalable ML solutions on our platform.

You will collaborate with scientists and pharma partners, publish open source work, and contribute to shaping BioLib's scientific roadmap while working with Python-based production code and PyTorch.