Lead Consultant - HPC Application Engineer
Lead Consultant - HPC Application Engineer
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Job Description
Job Title: Lead Consultant HPC Application Engineer
Career Level: E
Introduction to role
Join our dynamic Research Data & Analytics Team within R&D IT a global group of skilled data and AI engineers dedicated to revolutionizing the way we discover and develop medicine. Our mission is to partner with scientific teams to deliver innovative capabilities products and platforms that accelerate the development of safe and effective medicines for patients.
Scientific Computing Platform
The Scientific Computing Platform (SCP) is a key component of our efforts providing highperformance computing (HPC) solutions that support computational chemistry imaging multiOMICs structural biology data science and AI.
About the Platform
The SCP team provides the highperformance computing (HPC) platform and optimised applications on which scientists build their workflows. We are driven to accelerate scientific discovery and achieve this through rapid deployment of applications optimisation of complex workflows and application tuning for very large problems. An overarching principle is to maximise the impact of the teams support efforts.
We are seeking a passionate HPC engineer focussed on applications and research software engineering. The ideal candidate will have extensive handson experience making an impact with HPC technology delivering HPC services to a high quality and able to relate to the scientific community and work closely with users to make the best use of research computing services.
The HPC landscape is continually evolving. You will need the skills to help build optimise and operate industryleading capabilities including application build frameworks containerised applications and cloud softwareasaservice. Automated deployment is a key feature of your work and you will need to be comfortable with DevOps processes and delivering consistency through automation and infrastructureascode. A strong focus of the role will also be working directly with scientific users to help them optimise and productionise their code and make best use of the facility.
Accountabilities
As an HPC Application Engineer you will be responsible for developing delivering and operating research computing services and applications. You will take a Site Reliability Engineering approach to manage the endtoend development deployment monitoring and incident response of HPC services. Your role will involve solving complex technical problems related to SCP applications and services as well as assisting users in debugging and optimizing their workflows and applications. You will work closely with scientific users to help them optimize and productionize their code ensuring they make the best use of our research computing services.
Essential Skills/Experience
Scientific application installation optimisation and configuration
Effective use of HPC job schedulers such as SLURM
Experienced working in a Linux environment
Competent in multiple programming and scripting languages from the following list: python R Shell Scripts C/C Golang and deep expertise in at least one of them
Deep understanding of the factors influencing HPC application performance
Highly customer focused; able to explain IT technical concepts in a manner which nonIT experts can understand
Desirable Skills/Experience
Scientific degree and/or experience in computationally intensive analysis of scientific data
Previous experience in high performance computing (HPC) environments especially at large scales (>10000 cores)
Experience with high performance parallel filesystems at petabyte scale e.g. GPFS Lustre
Handson knowledge of a range of scientific and HPC applications such as simulation software bioinformatics tools or 3D data visualisation packages
Experience with software build frameworks such as Easybuild or Spack
Expertise in GPU AI/ML tools and frameworks (CUDA TensorFlow PyTorch)
Strong understanding of parallel programming techniques (e.g. MPI pthreads OpenMP) and code profiling/optimisation
Experience with workflow engines (e.g. Apache Airflow Nextflow Cromwell AWS StepFunctions)
Familiarity with container runtimes such as Docker Singularity or enroot
Expertise in specific scientific domains relevant to early drug development such as deep learning medical imaging molecular dynamics or omics.
Experience with frameworks for regression tests and benchmarks for HPC applications like Reframe HPC
Experience with working in GxPvalidated environments
Experience administering and optimising a HPC job scheduler (e.g. SLURM)
Experience with configuration automation and infrastructure as code (e.g. Ansible Hashicorp Terraform AWS CloudFormation Amazon Cloud Developer Kit)
Experience deploying infrastructure and code to public cloud especially AWS
Handson experience working in a DevOps team and using agile methodologies
At AstraZeneca we demonstrate technology to impact patients lives directly by transforming our ability to develop lifechanging medicines. We empower our teams to perform at their peak by combining cuttingedge science with leading digital technology platforms and data. Our dynamic environment encourages innovation and ownership providing countless opportunities to learn and grow. Join us in our mission to reinvent the industry and make a meaningful impact on the world.
Ready to make a difference Apply now!
Date Posted
18Feb2025Closing Date
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds with as wide a range of perspectives as possible and harnessing industryleading skills. We believe that the more inclusive we are the better our work will be. We welcome and consider applications to join our team from all qualified candidates regardless of their characteristics. We comply with all applicable laws and regulations on nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.
Required Experience:
Contract
Employment Type
Full-Time
