About the role
Apheris is seeking a Senior ML Research Engineer to drive research and development of machine learning models for molecular and structural biology. This hands-on role sits at the intersection of foundation models, structural biology, and federated learning, turning ambitious scientific goals into frontier ML models for real drug-discovery workflows.
You will develop and improve ML models such as co-folding and binding affinity models, build benchmarking strategies, and collaborate with customers and external collaborators. The position requires a PhD or MSc in a related field with at least 2 years of professional experience applying ML to scientific problems, along with expertise in Python, PyTorch, and structural biology data formats.
Highlights
- Work on industry-leading federated data networks for drug discovery AI
- Remote-first working with office days in Berlin or other European locations
- Industry-competitive compensation including virtual share options
- Wellbeing budget, mental health benefits, and learning and development budget
This recap is dataskew's editorial summary, not the company's copy.