Quantum Cheminformatics Researcher

18 hours ago

Brisbane, Queensland, Australia beBeeQuantumchemist Full time $150,000 - $200,000
Job Opportunity

We are seeking a highly skilled scientist to join our team in the field of quantum cheminformatics. This is an exciting opportunity to work at the intersection of quantum computing, cheminformatics, and applied machine learning to tackle complex challenges in drug design, catalysis, and energy materials.

The successful candidate will combine quantum algorithms with advanced machine learning techniques to develop innovative methodologies for understanding and predicting molecular and material properties.

This role requires collaboration with experts to explore quantum-enabled workflows that accelerate the discovery of molecules and materials, with direct impact on real-world applications.

Key Responsibilities

  • Develop workflows that integrate quantum computing and machine learning-driven cheminformatics for molecular modeling and property prediction.
  • Apply machine learning models to accelerate molecular and materials discovery in areas such as drug design, catalysis, and energy materials.
  • Collaborate with quantum algorithm experts to identify areas where quantum computing can have the greatest impact in cheminformatics and materials discovery.
  • Lead technical projects, working with internal and external teams to integrate quantum and ML-driven insights into cheminformatics workflows.
  • Stay updated on recent advancements in AI, computational chemistry, and quantum computing.
  • Document and communicate research findings through internal reports, peer-reviewed publications, and conference presentations.

Required Skills and Qualifications

  • Ph.D. in cheminformatics, computational chemistry or physics, chemical or materials engineering, or closely related fields, with a strong focus on ML methodologies for molecular modeling or materials discovery.
  • Hands-on experience developing and applying machine learning models to solve real-world problems in cheminformatics, drug design, or materials science.
  • Expertise in Python programming and familiarity with scientific libraries and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Demonstrated ability to develop computational workflows integrating ML and molecular modeling tools.
  • Published peer-reviewed articles in the field of molecular modeling, applied machine learning, or cheminformatics.

Benefits

This role offers opportunities for growth and development, collaboration with experts, and publication of research findings.

What We Offer

  • A dynamic work environment with collaborative teams.
  • Opportunities for professional growth and development.
  • Recognition and rewards for outstanding performance.

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