Postdoctoral Fellow: Rethinking drug design: AstraZeneca is looking for a highly motivated Postdoctoral Fellow to join their Molecular AI department to conduct innovative research using deep learning methodologies for drug design. The successful candidate will be working with a team of experts from diverse backgrounds and a world-class academic mentor. The project will involve developing deep learning architectures for molecular optimization, synthesis prediction, and property prediction.
- Location: Gothenburg, Västra Götaland County, Sweden
- Designation: Postdoctoral Fellow
- Research Area: Drug design using deep learning
- Job ID: R-149536
- Date Posted: 09/03/2023
Main Duties & Responsibilities:
- Research, design and implement innovative deep learning methodologies for drug design
- Plan, write, publish and present high-quality scientific papers
- Opportunity to mentor PhD students, graduate scientists, and master thesis students
Qualification, Skills & Experience:
- A PhD or equivalent in cheminformatics, computer science or a related field
- Proven experience with deep learning
- Excellent written and verbal communication skills
- Programming expertise, preferably in using Python
- Ability to conduct independent and innovative research
Desirable Requirements:
- Familiar with Transformer-based language models
- Basic knowledge of cheminformatics
- Experience with deep learning frameworks, e.g., PyTorch and modern neural network architectures
- Awareness of recent development in the field of deep learning
Location: The position is located at AstraZeneca’s research site in Goth
enburg, Sweden.
How to Apply: To apply for this position, please submit your application along with your CV, a cover letter highlighting your skills and experience relevant to this role, and contact details of two referees.
Last Date for Apply: Advert Opens: March 10th 2023 Advert Closes: April 16th 2023
