Empower scientists with HPC to accelerate early-stage drug discovery by enabling them to build, improve, and support computational workflows
Job Summary
Empower scientists with HPC to accelerate early-stage drug discovery by enabling them to build, improve, and support computational workflows.
The role blends hands-on problem solving, workflow optimisation, training, and community building, collaborating with researchers and engineering groups.
Join a global, multinational environment at AstraZeneca's Gothenburg R&D site, where science meets technology to accelerate discovery and turn data into impact.
Matching Summary
Empower scientists with HPC to accelerate early-stage drug discovery by enabling them to build, improve, and support computational workflows.
Skills & Requirements
Must-have
HPC job schedulers
scientific computing software on Linux
Python, R, or shell scripting
parallel computing frameworks (MPI, CUDA)
diagnose and resolve research computing issues
Nice-to-have
deep learning, medical imaging, molecular dynamics, or omics
Nextflow or Snakemake
containerisation and packaging
DevOps and cloud deployment
designing and delivering technical training
Key Requirements
PhD or equivalent research experience
Bachelor's or Master's degree and 3+ years of relevant research computing experience
Experience supporting academic labs, core facilities, or research consortia