Technical Lead - Structural Biology Networks

At Apheris, we are building the future of how AI is applied in pharmaceutical R&D.

We enable leading pharmaceutical teams to discover and develop drugs faster. We host the industry’s largest federated data networks for drug discovery AI, spanning co-folding, ADMET, and antibody developability.

Across these networks, models are trained on proprietary industry datasets to achieve higher performance and broader applicability while keeping data control and IP protected. We deliver these superior models through drug discovery applications that enable teams to run them at scale, further customize them, and integrate them into existing R&D workflows.  

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. You will turn ambitious scientific goals into reliable model systems that can be evaluated, released, and used in real drug discovery workflows. 
 
You will set technical direction, drive execution, challenge modeling decisions, and turn ambiguity into executable plans, while managing risks and dependencies, mentoring senior engineers and ML scientists, and getting into technical depth when needed. 
 
We are looking for someone who has led demanding ML delivery before and knows how to move from research-led or open-source prototypes to robust model systems.