Technical Lead - Structural Biology Networks - Remote

Overview

Apheris is at the forefront of applying AI in pharmaceutical R&D, enabling teams to discover and develop drugs faster through federated data networks.

In Short

• Lead the delivery of AI Structural Biology model programs.
• Hands-on leadership role focusing on foundation models and federated learning.
• Manage risks and dependencies while mentoring engineers and ML scientists.
• Drive execution and challenge modeling decisions.
• Translate scientific goals into executable plans.
• Build and implement ML applications in structural biology.
• Align consortium members on objectives and timelines.
• Ensure high-quality model releases.
• Work collaboratively with product, engineering, and research teams.
• Contribute to modeling, experimentation, or architecture as needed.

Requirements

• PhD, MSc, or equivalent experience in a relevant field.
• 5+ years applying ML to complex scientific or biological problems.
• Hands-on experience with Python and PyTorch.
• Experience with large-scale models like OpenFold or AlphaFold.
• MLOps or ML infrastructure experience.
• Proven track record in leading complex ML projects.
• Ability to mentor engineers and ML scientists.
• Strong communication skills with stakeholders.
• Bonus: Experience with federated learning and privacy-preserving ML.
• Bonus: Publication record in top-tier ML or computational biology venues.

Benefits

• Industry-competitive compensation with share options.
• Remote-first working environment.
• Wellbeing budget and mental health support.
• Generous holiday allowance.
• Office days at Berlin HQ or other European locations.
• Join a high-calibre execution-focused team.