Postdoctoral Fellow: Molecular Modelling: AstraZeneca is seeking a talented Postdoctoral Fellow to join our team in Gothenburg, Sweden, to work on groundbreaking research in Molecular Modelling & Machine Learning for predictive immunogenicity assessment in peptides and proteins.
Postdoctoral Fellow: Molecular Modelling & Machine Learning
- Designation: Postdoctoral Fellow
- Research Area: Molecular Modelling & Machine Learning for immunogenicity risk prediction in peptides and proteins.
- Location: Gothenburg, Västra Götaland County, Sweden
- Eligibility/Qualification:
- PhD degree in computational biology/chemistry, cheminformatics, mathematics/machine learning.
- Experience with structure-based molecular modelling.
- Proficiency in programming, preferably Python.
- Strong knowledge of machine learning methods and data science concepts.
- Job Description:
- Research, design, and implement innovative computational tools for immunogenicity assessment in peptides and proteins with non-natural amino acids.
- Lead and drive the project collaborating with AstraZeneca teams and academic experts.
- Develop computational tools utilizing structure-based modelling, computational methods for binding affinities, and state-of-the-art machine learning techniques.
- Plan, write, publish, and present high-quality scientific papers.
- Participate in AstraZeneca activities, learn about drug development processes, and stay updated on scientific advances.
- How to Apply: Interested candidates can apply online on the AstraZeneca Careers website at AstraZeneca Careers – Postdoc Program.
- Last Date for Apply: Application deadline is September 15, 2024. Early application is encouraged as suitable candidates may be selected before the closing date.
This role offers a unique opportunity for a Postdoctoral Fellow to work in a collaborative environment with access to cutting-edge technology to contribute to the development of safer and more efficacious medicines at AstraZeneca. Apply today to make a meaningful impact in the field of pharmaceutical research and innovation.
