Industrial Phd Student In Molecular Ai

AstraZeneca

Gothenburg, Sweden
According to local agreement
Python and modern deep learning
Molecular ai for peptide design
Non-natural amino acids and scaffolds
Develop next-generation AI that designs potent, orally bioavailable cyclic peptides with non-natural amino acids

Job Summary

  • Develop next-generation AI that designs potent, orally bioavailable cyclic peptides with non-natural amino acids.
  • Build an end-to-end AI pipeline to design orally bioavailable cyclic peptides by uniting binder generation, property prediction, and experimental translation.
  • The project provides comprehensive training in modern molecular generative AI, computational peptide design, property prediction, and industrial translation.

Matching Summary

Develop next-generation AI that designs potent, orally bioavailable cyclic peptides with non-natural amino acids.

Salary

According to local agreement

Skills & Requirements

Must-have

  • Python and modern deep learning
  • Molecular AI for peptide design
  • Non-natural amino acids and scaffolds
  • Oral bioavailability modeling
  • End-to-end AI pipeline development

Nice-to-have

  • Collaborative software development
  • Protein language models
  • Multi-objective optimization
  • Molecular simulation/MD exposure

Key Requirements

  • Master's degree in ML, CS, computational chemistry, bioinformatics, or related
  • Proficiency in Python and modern deep learning
  • Excellent written and verbal communication skills
  • Highly collaborative mindset

Work Rights

Not specified

Tailored Resume

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