Senior AI Product Manager – Drug Discovery ML

About the role

At Apheris, we power federated data networks in life sciences to address the data bottleneck in training highly performant ML models. Publicly available molecular datasets are insufficient to train high-quality ML models that meet industry requirements. Our product hosts networks where biopharma organizations collaboratively train higher quality models on their combined data. The Apheris product includes drug discovery applications enriched with proprietary data from network participants. Our federated computing infrastructure with built-in governance and privacy controls ensures that data IP and ownership always remain with the data custodians.

As we focus more on structural biology and ADMET use cases within our drug discovery efforts, we are seeking a Senior AI Product Manager to lead the vision, strategy, and execution of our AI model products in these areas. This is a hands-on, high-impact role aimed at advancing the application of foundational models to structural biology and ADMET challenges. You will collaborate closely with leadership, ML engineers, domain experts, customers, and product teams to develop cutting-edge AI systems that drive meaningful progress in drug discovery.

You should have deep expertise in building AI products for drug discovery, understanding of foundational models for protein structure prediction and ADMET, and a proven track record in strategy, problem breakdown, and delivering impactful AI products.

If you are passionate about building innovative AI systems for life sciences and capable of translating foundational models into domain-specific impacts, this role is for you.

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