Principal ML Scientist – Predictive Toxicology

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

Use machine learning and deep learning to advance predictive toxicology within the drug discovery science team. Contribute to molecular AI approaches using graph neural networks (GNNs) to support toxicology-related research areas such as DILI and cytotoxicity. Work in a remote role focused on research and science under the Drug Discovery Science department.

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Apheris
Apheris
1 day ago

Principal ML Scientist – Predictive Toxicology

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Last checked: 11 hours agoStatus: Live

Job Summary

Use machine learning and deep learning to advance predictive toxicology within the drug discovery science team. Contribute to molecular AI approaches using graph neural networks (GNNs) to support toxicology-related research areas such as DILI and cytotoxicity. Work in a remote role focused on research and science under the Drug Discovery Science department.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Requirements

Tech Stack:ToxicologyDILICytotoxicityMachine 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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