AI Molecular Design Scientist - Remote

AItoolnavio; EUA; Remoto; USD 134.000 - 161.000; Tempo integral

Benefícios oferecidos por esta vaga

Remote working: United States

Healthcare coverage

401(k) retirement plan

Paid time off

Professional development

Resumo da vaga

AItoolnavio, on behalf of a partner company, seeks an AI Scientist for AI Molecular Design in the United States. You will develop AI/ML models for protein/binder design, mRNA optimization, and antibody development, collaborating with distributed teams to translate scientific challenges into practical AI solutions.

The role emphasizes high-quality experimental data, DMTA cycles, and integration of lab workflows with AI, using advanced frameworks and computational biology tools in a fully remote

Qualificações

• Master's degree or PhD in Computational Biology, Computer Science, Physics, Applied Mathematics, or related quantitative field.
• Strong hands-on coding with Python and ML frameworks (Scikit-learn, PyTorch, TensorFlow, RDKit).
• Algorithm development: create, test and apply new/adapted algorithms to solve complex technical challenges.
• Production-ready software: translate requirements into scalable, reliable production code.
• Experience with protein structure prediction and computational design, including tools such as Chai-1, Boltz-2, BindCraft, BoltzGen, Mosaic, Proteina Complexa.
• Experience with wet-lab validation and DMTA cycles in AI-designed molecular designs.
• Familiarity with antibody discovery methodologies.

Responsabilidades

• AI and Machine Learning Development: design, develop, test, and deploy ML models for molecular design; evaluate algorithms and frameworks.
• Molecular Design Innovation: collaborate to support protein and binder design, mRNA optimization, antibody optimization.
• Algorithm Development and Optimization: adapt and improve algorithms for scalable AI solutions.
• Protein Structure Prediction and Design: apply computational methods to support protein design initiatives.
• Experimental Data Coordination: coordinate DMTA data collection, QC, and reporting with experimental teams.
• Data Integrity and Standardization: ensure datasets are accurate and standardized for model training.
• Wet-Lab and Computational Integration: integrate experimental results to validate AI designs.
• Model Evaluation and Continuous Improvement: analyze feedback to refine models.
• Technical Documentation: document workflows, findings, and performance for production.
• Cross-Functional Collaboration: work with distributed teams across functions.

Conhecimentos

Python

ML frameworks

Scikit-learn

PyTorch

TensorFlow

RDKit

Formação

Master's or PhD in Computational Biology/CS/Physics/Applied Math

Ferramentas

Chai-1

Boltz-2

BindCraft

BoltzGen

Mosaic

Proteina Complexa

Descrição da vaga

AItoolnavio, on behalf of a partner company, seeks an AI Scientist for AI Molecular Design in the United States. You will develop AI/ML models for protein/binder design, mRNA optimization, and antibody development, collaborating with distributed teams to translate scientific challenges into practical AI solutions.

The role emphasizes high-quality experimental data, DMTA cycles, and integration of lab workflows with AI, using advanced frameworks and computational biology tools in a fully remote