Principal ML Scientist – Predictive Toxicology

Apheris
Anywhere
Workplace: RemoteFull timeFunction: Research & Scientific (R&D)Skills: []

Apply machine learning to predictive toxicology within drug discovery science, focusing on areas such as DILI and cytotoxicity. Use techniques including deep learning, molecular AI, and graph neural networks (GNNs) to support research efforts in biological and chemical domains.

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Apheris
Apheris
1 month ago

Principal ML Scientist – Predictive Toxicology

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Apply machine learning to predictive toxicology within drug discovery science, focusing on areas such as DILI and cytotoxicity. Use techniques including deep learning, molecular AI, and graph neural networks (GNNs) to support research efforts in biological and chemical domains.
Location: Anywhere
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Requirements

Experience:ToxicologyDrug discovery
Tech Stack:Machine LearningDeep LearningMolecular AIGNNs

Company Brief

Apheris
Provides a privacy-preserving data collaboration and machine learning platform that enables organizations to analyze and train models on sensitive datasets without sharing raw data, using cryptographic techniques and differential privacy for industries like healthcare and finance.
Industry: Data Infrastructure
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