(Senior) ML Researcher – Molecular Privacy

apheris

1 month ago

Remote

Full Time

Senior

0 applicants

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About this role

Apheris is developing federated data networks for the life sciences industry, enabling organizations to collaboratively train machine learning models while maintaining data privacy and ownership. They focus on areas such as structural biology and ADMET in drug discovery. The company is looking for a privacy-focused senior machine learning engineer to lead empirical privacy risk assessments and develop mitigation strategies.

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About apheris

apheris.com

Apheris builds drug discovery AI delivered via federated data networks to produce superior predictive models. Their software runs locally in customers’ environments so data, queries, and outputs remain secure and in‑house. The platform supports in‑house benchmarking, fine‑tuning for specific targets and chemotypes, and integration via GUI or API. Apheris also enables organizations to join or build federated networks to improve model performance without centralizing sensitive data.