apheris
The role focuses on driving adoption of Apheris' Co-Folding Application within leading pharma R&D teams by working directly with computational and medicinal chemists to benchmark, test, and apply structure-based models to real discovery programs. The scientist will conduct workshops, develop case studies, and feed field insights back to product and AI teams to ensure effective integration into workflows.
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.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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apheris didn’t post a salary, so this is our estimate from similar listings.
7% below the average for this role
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