Technical Lead - Structural Biology Networks
ApherisGermany
Posted May 4, 2026
Full Time
About the Company
Apheris is a data security and governance platform enabling secure access to data for machine learning and analytics. The Apheris Compute Gateway ensures only approved computations can be launched on sensitive data, facilitating federated learning across organizations while maintaining compliance with privacy and security standards. Founded in 2019, the company is backed by leading investors and tech innovators, specializing in ML, deep learning, privacy, and biomedical data.
Job Description
We are looking for a technical lead to own delivery of our AI Structural Biology model programs. This is a hands-on leadership role at the intersection of foundation models, structural biology, and federated learning.
Requirements
- PhD, MSc, or equivalent experience in a relevant field
- 5+ years applying ML to complex scientific or biological problems
- Hands-on experience with modern ML systems in Python and PyTorch
- MLOps or ML infrastructure experience, particularly with Kubernetes-based training, evaluation, or deployment workflows
- Experience with OpenFold, AlphaFold, Boltz, ESM, or similar large-scale models
- Experience with federated learning, privacy-preserving ML, distributed training, or other multi-party training environments
Benefits
- Industry-competitive compensation
- Remote-first working
- Wellbeing budget
- Mental health support
- Work-from-home budget
- Co-working stipend
- Learning budget
- Generous holiday allowance
- Office Days at our Berlin HQ or a different European location