At a Glance
- Tasks: Design and build innovative tools for data-driven solutions in healthcare.
- Company: Join GSK, a global leader in biopharma focused on improving health.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on healthcare by leveraging cutting-edge technology.
- Qualifications: Degree in Data Engineering or related field; experience with Python and Cloud.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines.
We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:
- Building a next-generation, metadata- and automation-driven data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity and reducing time spent on “data mechanics”
- Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
- Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time
Our Compute Platform Engineering team is building a first-in-class platform of toolchains and workflows that accelerate application development, scale up computational experiments, and integrate all computation with project metadata, logs, experiment configuration and performance tracking over abstractions that encompass Cloud and High-Performance Computing (HPC). This metadata-forward, CI/CD-driven platform represents and enables the entire application and analysis lifecycle including interactive development and explorations (notebooks), large-scale batch processing, observability and production application deployments.
A Compute Platform Engineer II is a technical contributor who can consistently take a poorly defined business or technical problem, work it to a well-defined problem / specification, and execute on it at a high level. They have a strong focus on metrics, both for the impact of their work and for its inner workings / operations. They are a model for the team on best practice for software development in general (and their specialization in particular), including code quality, documentation, DevOps, and testing. They ensure robustness of our services and serve as an escalation point in the operation of existing services, pipelines, and workflows. They should be familiar with the tools of their specialization and of their customers and engaged with the open-source community surrounding them – potentially, even to the level of contributing pull requests.
In this role you will:
- Design, build, and operate tools, services, workflows that deliver high value through the solution to key business problems.
- Responsible for development of key components of a hybrid on-prem/cloud compute platform for both interactive and scalable batch computing and establishing of processes and workflows to transition existing HPC users and teams to this platform.
- Responsible for code-driven environment, applications, and container/image builds as well as CI/CD driven application deployments.
- Consult science users on application scalability to PBs of data by having a deep understanding of software engineering, algorithms, and underlying hardware infrastructure and their impact on performance.
- Confidently optimizes design and execution of complex solutions within large-scale distributed computing environments.
- Produces well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy.
- Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage.
- Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards.
- Adhere to QMS framework and CI/CD best practices and helps to guide improvements to them that improve ways of working.
Qualifications & Skills
We are looking for professionals with these required skills to achieve our goals:
- Bachelor’s degree in Data Engineering, Computer Science, Software Engineering or another relevant area.
- Significant experience within industry within a technical role.
- Experience with Python.
- Experience with Cloud.
- Experience with High Performance Compute (HPC).
Preferred Qualifications & Skills
If you have the following characteristics, it would be a plus:
- Master’s degree or PhD in Data Engineering, Compute Science, Software Engineering or another relevant area.
- Knowledge and use of at least one common programming language: e.g., Python, Go, C++, Scala, Java, including toolchains for documentation, testing, and operations / observability.
- Expertise in modern software development tools / ways of working (e.g. git/GitHub, devops tools, metrics / monitoring, …).
- Cloud expertise (e.g., AWS, Google Cloud, Azure), including infrastructure-as-code tools and scalable compute technologies, such as Google Batch and Vertex.
- Experience with CI/CD implementations using git and a common CI/CD stack (e.g., Azure DevOps, CloudBuild, Jenkins, CircleCI, GitLab).
- Expertise with Docker, Kubernetes, and the larger CNCF ecosystem including experience with application deployment tools such as Helm.
- Experience with low level application builds tools (make, CMake) as well as automated build systems such as spack or easybuild.
- Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps).
- Experience in workflow orchestration with tools such as Argo Workflow, Airflow, and scientific workflow tools such as Nextflow, Snakemake, VisTrails, or Cromwell.
- Experience with application performance tuning and optimization, including in parallel and distributed computing paradigms and communication libraries such as MPI, OpenMP, Gloo, including deep understanding of the underlying systems (hardware, networks, storage) and their impact on application performance.
- Demonstrated excellence with agile software development environments using tools like Jira and Confluence.
- Familiarity with the tools, techniques, optimizations in high-performance applications space, including engagement with the opensource community (and potentially making contributions to such tools).
Closing Date for Applications: Sunday 8th February 2026 (COB)
Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon!
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Compute Platform Engineer II employer: GlaxoSmithKline
Contact Detail:
GlaxoSmithKline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Compute Platform Engineer II
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to Compute Platform Engineering. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Compute Platform Engineer II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Compute Platform Engineer II role. Highlight your experience with Python, Cloud, and HPC, and don’t forget to showcase any relevant projects or contributions to open-source communities.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain how your skills align with the job requirements. Be specific about your achievements and how they relate to the responsibilities of the role.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to tackle poorly defined problems. Share examples of how you've taken vague challenges and turned them into well-defined solutions, especially in a technical context.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details you need right there!
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Cloud platforms, and HPC. Brush up on your coding skills and be ready to discuss your experience with these tools in detail.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've taken a poorly defined problem and turned it into a well-defined solution. Highlight your metrics-driven approach and how it impacted your previous projects.
✨Familiarise Yourself with CI/CD Practices
Since the role involves CI/CD-driven application deployments, be ready to talk about your experience with tools like Jenkins or GitLab. Share any relevant projects where you implemented these practices successfully.
✨Engage with the Open-Source Community
If you’ve contributed to open-source projects, be prepared to discuss your contributions. This shows your commitment to continuous learning and collaboration, which is highly valued in tech roles.