Empower scientists with HPC to accelerate early-stage drug discovery by enabling them to build, improve, and support computational workflows that drive high-impact science
Job Summary
Empower scientists with HPC to accelerate early-stage drug discovery by enabling them to build, improve, and support computational workflows that drive high-impact science.
The role blends hands-on problem solving, workflow optimisation, training, and community building, collaborating with researchers and engineering groups to advance computational capabilities.
Work in a global, multinational environment at AstraZeneca's Gothenburg R&D site, a strategic research hub, where collaboration spans teams, functions, countries, and even companies.
Matching Summary
Empower scientists with HPC to accelerate early-stage drug discovery by enabling them to build, improve, and support computational workflows that drive high-impact science.
Skills & Requirements
Must-have
HPC job schedulers
scientific computing on Linux
Python, R, or shell scripting
parallel computing frameworks (MPI, CUDA)
research computing environments
academic research experience
Nice-to-have
computational analysis of research data
deep learning, medical imaging, molecular dynamics, omics
Nextflow or Snakemake
FAIR/reproducible research practices
DevOps and cloud deployment
designing and delivering technical training
Key Requirements
PhD or equivalent research experience
Bachelor's or Master's degree with 3+ years relevant experience
Ability to explain technical concepts clearly
Diagnose and resolve issues in research computing environments