Ddls Industrial Phd Student In Data-driven Precision Medicine And Diagnostics
AstraZeneca
Gothenburg, Sweden
According to local agreement
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Msc in machine learning or related field
Solid deep learning and representation learning skills
Python and pytorch programming proficiency
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AstraZeneca is seeking an Industrial PhD student in AI/ML to work on a precision medicine project that integrates multimodal biomedical data. The successful candidate will collaborate between AstraZeneca and KTH Royal Institute of Technology, focusing on cross-species representation learning and its applications in translational medicine.
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Job Summary
The position involves developing AI methods to align and integrate multimodal biomedical data across early discovery, preclinical studies, and human clinical profiles.
The PhD student will split their time between KTH Royal Institute of Technology and AstraZeneca in Gothenburg, Sweden.
The project aims to build shared cross-species representations that capture conserved biological processes using foundation models.
Matching Summary
Match Score: 75
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AstraZeneca is seeking an Industrial PhD student in AI/ML to work on a precision medicine project that integrates multimodal biomedical data. The successful candidate will collaborate between AstraZeneca and KTH Royal Institute of Technology, focusing on cross-species representation learning and its applications in translational medicine.
**
Salary
According to local agreement
Skills & Requirements
Must-have
MSc in machine learning or related field
Solid deep learning and representation learning skills
Python and PyTorch programming proficiency
Nice-to-have
Background applying AI to life-science problems
Experience with multimodal and self-supervised learning
Familiarity with translational research processes
Key Requirements
MSc degree in ML, CS, engineering, or applied mathematics