Postdoctoral Researcher In Quantum Machine Learning For Drug Development, Predictive Science Digital And Automation, Pharmaceutical Sciences, Biopharma R&d, Gothenburg, Sweden
AstraZeneca
Gothenburg, Sweden
Hybrid
Phd in quantum machine learning or related field
Strong python and scientific software skills
Experience with computational modeling and prototyping
AstraZeneca is seeking a Postdoctoral Researcher in Quantum Machine Learning for Drug Development to lead research on enhancing chemical property predictions through advanced quantum methodologies. The role involves collaboration with academic supervisors and industry experts, focusing on practical applications in pharmaceutical sciences
Job Summary
This role leads a research project investigating how quantum machine learning can improve the prediction of chemical properties for drug development.
The position is embedded within the Wallenberg Center for Quantum Technologies, offering access to world-class experts and hardware.
Candidates will work closely with AstraZeneca's Predictive Science Digital and Automation department to ground research in high-value use cases.
Matching Summary
Match Score: 85
AstraZeneca is seeking a Postdoctoral Researcher in Quantum Machine Learning for Drug Development to lead research on enhancing chemical property predictions through advanced quantum methodologies. The role involves collaboration with academic supervisors and industry experts, focusing on practical applications in pharmaceutical sciences.
Skills & Requirements
Must-have
PhD in quantum machine learning or related field
Strong Python and scientific software skills
Experience with computational modeling and prototyping
Nice-to-have
Familiarity with Qiskit, PennyLane, or Cirq platforms
Understanding of electronic structure methods
Cross-functional collaboration experience
Key Requirements
PhD in quantum machine learning, chemistry, or computing
Demonstrated ability to produce high-quality research outcomes