Postdoctoral Researcher In Quantum Machine Learning For Drug Development, Predictive Science Digital And Automation, Pharmaceutical Sciences, Biopharma R&d, Gothenburg, Sweden
AstraZeneca
Gothenburg, Sweden
Phd in quantum machine learning or related field
Strong python and scientific software practices
Experience with computational workflows and reproducibility
The role involves leading research at the intersection of quantum computing, quantum chemistry, and machine learning within AstraZeneca's Predictive Science Digital and Automation department
Job Summary
The role involves leading research at the intersection of quantum computing, quantum chemistry, and machine learning within AstraZeneca's Predictive Science Digital and Automation department.
You will develop and evaluate quantum machine learning models using kernel methods to enhance the prediction of chemical properties relevant to drug development.
This position is embedded within the Wallenberg Center for Quantum Technologies (WACQT), offering access to world-class experts and real quantum hardware.
Matching Summary
The role involves leading research at the intersection of quantum computing, quantum chemistry, and machine learning within AstraZeneca's Predictive Science Digital and Automation department.
Skills & Requirements
Must-have
PhD in quantum machine learning or related field
Strong Python and scientific software practices
Experience with computational workflows and reproducibility
Nice-to-have
Familiarity with Qiskit, PennyLane, or Cirq platforms
Hands-on understanding of electronic structure methods
Cross-functional collaboration and knowledge sharing
Key Requirements
PhD in quantum machine learning, quantum chemistry, or computational physics
Demonstrated ability to produce high-quality research outcomes
Strong experience with Python and modern scientific software practices