Associate Principal Scientist / Sr Scientist: Computational Chemistry
QRIOS AB
📍 Göteborg
⏰ Heltid
📋 Vanlig anställning
🗓 Ansök senast 9 maj 2026
✦ Få fler intervjuer
Generera ett personligt brev anpassat för just den här rollen — på under en minut.
Skapa ansökan – från 49 kr Gratis att söka · Ingen registrering · Premium 49 kr/månOm jobbet
Join a world leading team in developing the next generation of small molecule and PROTACs medicines!
AstraZeneca R&D, Gothenburg, Sweden seeks to recruit into Computational Chemistry, BioPharma Chemistry, Discovery Sciences.
About the position
As a Computational Chemist you will have a profound impact on multiple projects across the BioPharma portfolio. You will work collaboratively with medicinal chemists and multidisciplinary teams across all discovery phases. You will efficiently and proactively apply a full range of computational chemistry and AI approaches to deliver design, predictive models and SAR-analysis to improve potency, selectivity, activity and/or ADMET properties of our drug compounds.
You will help identify scientific improvement areas in computational sciences and assess their application to AstraZeneca projects, while contributing to new computational capabilities through collaboration with external partners and colleagues across AZ sites. The role offers opportunities to publish original research and reviews in peer reviewed journals and requires maintaining up to date awareness of the literature and developments in the field.
You’ll work alongside a large community of computational chemists across functions—spanning cheminformatics, molecular simulations, structure‑ and ligand‑based design, machine learning and model development—in a collaborative, cross‑disciplinary environment. You’ll also have access to shared high‑performance compute clusters and state‑of‑the‑art software to enable co‑folding, FEP/MD, and advanced modelling workflows such as generative design.
Reponsibilities
We are seeking an engaged computational chemist with a solid knowledge of drug discovery concepts and a proven track record of applying computational chemistry techniques with measurable impact on drug discovery project delivery. The candidate is expected to have a deep understanding of how computational chemistry contributes to drug discovery projects together with a good knowledge of the drug discovery process including other disciplines, such as synthetic, structural and medicinal chemistry, DMPK, structural biology, biophysics, biological science etc.
Your profile
Requirements
o PhD (or equivalent experience) in the field of computational chemistry or similar
We are seeking an engaged chemoinformatician with a PhD (or equivalent experience) in computational chemistry, chemistry, pharmacology, or a related field with a strong computational background.
o Deep knowledge in structure-based drug design techniques, especially molecular dynamics and/or modern FEP methods.
o Knowledge in scientific computing, and programming skills (e.g., Python, Perl, C, C++, Java, R).
o Strong written and verbal communication skills and ability to collaborate in multidisciplinary project teams
o Excellent time management skills, forward planning and delivery focus
Desirable:
o Experience in ligand-based design techniques.
o Experience in machine learning and cheminformatics
About the Organisation
This is a consultant assignment at AstraZeneca in Göteborg for 1 year, starting in June 2026.
During the time you will be hired by QRIOS.
Please apply by registering your CV here on our website. Click on the "Ansök" button to the right. It is our recommendation that you register as much information as possible and that you attach a complete CV-document. Please check that your correct e-mail address is registered.
AstraZeneca R&D, Gothenburg, Sweden seeks to recruit into Computational Chemistry, BioPharma Chemistry, Discovery Sciences.
About the position
As a Computational Chemist you will have a profound impact on multiple projects across the BioPharma portfolio. You will work collaboratively with medicinal chemists and multidisciplinary teams across all discovery phases. You will efficiently and proactively apply a full range of computational chemistry and AI approaches to deliver design, predictive models and SAR-analysis to improve potency, selectivity, activity and/or ADMET properties of our drug compounds.
You will help identify scientific improvement areas in computational sciences and assess their application to AstraZeneca projects, while contributing to new computational capabilities through collaboration with external partners and colleagues across AZ sites. The role offers opportunities to publish original research and reviews in peer reviewed journals and requires maintaining up to date awareness of the literature and developments in the field.
You’ll work alongside a large community of computational chemists across functions—spanning cheminformatics, molecular simulations, structure‑ and ligand‑based design, machine learning and model development—in a collaborative, cross‑disciplinary environment. You’ll also have access to shared high‑performance compute clusters and state‑of‑the‑art software to enable co‑folding, FEP/MD, and advanced modelling workflows such as generative design.
Reponsibilities
We are seeking an engaged computational chemist with a solid knowledge of drug discovery concepts and a proven track record of applying computational chemistry techniques with measurable impact on drug discovery project delivery. The candidate is expected to have a deep understanding of how computational chemistry contributes to drug discovery projects together with a good knowledge of the drug discovery process including other disciplines, such as synthetic, structural and medicinal chemistry, DMPK, structural biology, biophysics, biological science etc.
Your profile
Requirements
o PhD (or equivalent experience) in the field of computational chemistry or similar
We are seeking an engaged chemoinformatician with a PhD (or equivalent experience) in computational chemistry, chemistry, pharmacology, or a related field with a strong computational background.
o Deep knowledge in structure-based drug design techniques, especially molecular dynamics and/or modern FEP methods.
o Knowledge in scientific computing, and programming skills (e.g., Python, Perl, C, C++, Java, R).
o Strong written and verbal communication skills and ability to collaborate in multidisciplinary project teams
o Excellent time management skills, forward planning and delivery focus
Desirable:
o Experience in ligand-based design techniques.
o Experience in machine learning and cheminformatics
About the Organisation
This is a consultant assignment at AstraZeneca in Göteborg for 1 year, starting in June 2026.
During the time you will be hired by QRIOS.
Please apply by registering your CV here on our website. Click on the "Ansök" button to the right. It is our recommendation that you register as much information as possible and that you attach a complete CV-document. Please check that your correct e-mail address is registered.