AI Program Manager – Drug Discovery 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.

Examples of our live networks include:

• AI Structural Biology (AISB) Network: Top 20 pharma companies collaborate in the field of co-folding, structure-based binding affinity predictions and antibody design.
• ADMET Network: Top 50 pharma companies and biotechs collaborate to improve small-molecule property prediction and expand to further drug modalities.
• Antibody Developability Network: Pharma partners collaborate to federate historical and purpose-built antibody developability datasets for secure ML training, without data leaving each partner’s environment.

We are hiring AI Program Managers to drive execution and growth across one or more of Apheris’ federated networks, including scaling existing networks and/or helping build new ones from the ground up.

This is a high-ownership, customer-facing role. You will drive structured progress across complex, multi-party initiatives and ensure that partners, internal teams, and workstreams move in lockstep. Beyond execution, you will actively shape how networks evolve: how they scale, how partners engage, and how value is created over time.

A central part of the role is translating network goals into concrete execution. You will drive program progress across customers, prepare materials for scientific and commercial discussions, shape follow-ups, and convert roadmap priorities into clear workstreams. You will work closely with business development, ML scientists, and product and engineering teams to maintain momentum.

You will also drive adoption of federated models within partner organizations and embed them into active drug discovery programs. This includes strategic account management, increasing application usage, and ensuring outputs deliver measurable impact in real workflows. You will coordinate across internal and external teams, aligning priorities, resolving dependencies, and driving execution end-to-end.