At Apheris, we are building the future of how AI is applied in pharmaceutical R&D.
Our federated computing technology enables global pharma companies to collaborate securely on large AI models that accelerate drug discovery, without ever sharing their proprietary data. By powering multi-partner data networks across small molecules, antibodies, and protein folding, Apheris is redefining how science and AI intersect.
Apheris is a neutral technology and solutions provider. We do not conduct internal drug discovery research, and we do not develop proprietary drug assets. Instead, we support pharmaceutical computational drug discovery teams with production-grade applications, models, and infrastructure that help advance their own drug programs.
We currently host two flagship networks: the AI Structural Biology (AISB) Network, focused on protein co-folding and binding affinity prediction, and the ADMET Network, focused on small-molecule property prediction. In addition, we have just launched ApherisFold, an enterprise co-folding solution that enables pharma teams to deploy cutting-edge models such as OpenFold 3 and Boltz-2 directly within their own environments.

We are looking for a Senior Director, Computational Drug Discovery to build and lead a small, high-impact computational drug discovery team and to serve as a peer-level scientific counterpart to senior computational chemistry and drug discovery leaders at the world’s leading pharmaceutical companies.
You will work closely with Product, ML/AI, and Commercial teams to shape how Apheris’ applications, models, and data networks are applied to drug programs of our customers. Your role is to ensure that scientific direction, workflows, and recommendations are grounded in how drug discovery is actually executed in industry and deliver measurable value in practice.
This is a hands-on, externally facing leadership role. It requires deep scientific credibility, comfort giving and challenging scientific direction, and the ability to engage directly with senior scientific stakeholders at our pharma customers. You will lead a team of application scientists with a background in computational or medicinal chemistry. You stay on top of state-of-the-art machine learning developments in drug discovery and are comfortable operating hands-on in a fast-paced, venture-backed, remote-first environment.