Director of AI and Scientific Computing Optimization
2 weeks ago
The Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have the right data and insights when they need it to give them a better starting point for and accelerate medical discovery.
Our team is focused on optimizing first-in-class Compute and AI/ML platforms 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. 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.
The Director of AI and Scientific Computing Optimization will be a deeply technical leader who consistently delivers major compute and AI/ML platform features and solutions with cross-organizational impact and value. They will be recognized as an expert in software engineering, scientific computing, and/or AI/ML with a deep understanding of performance and optimization, within the Onyx team, across R&D Digital & Tech, and even externally.
This role is responsible for building and leading a team of world-class software engineers focused on optimizing a best-in-class Compute and AI/ML Platforms at scale, quality, and cost. The Director of AI and Scientific Computing Optimization will support the Sr. Director of Computing, Analysis, and AI/ML Platforms in building a strong culture of accountability and ownership in their team, as well as instilling best-in-class engineering practices (e.g. testing, code reviews, DevOps-forward ways of working).
Key Responsibilities:
- Build, lead, develop, and retain world-class software engineers
- Serve as a top expert for the optimization team, and contribute technical expertise to teams in closely aligned technical areas such as DevOps, Cloud and Infrastructure
- Lead design of major optimization software components of the Compute and AI/ML Platforms, contribute to development of production code and participate in both design reviews and PR reviews
- Accountable for delivery of scalable solutions to the Compute and AI/ML Platforms that supports the entire application lifecycle (interactive development and explorations/analysis, scalable batch processing, application deployment) with particular focus on performance at scale
- Partner with both AI/ML and Compute platform teams as well as scientific users to help optimize and scale scientific workflows by utilizing deep understanding of both software as well as underlying infrastructure (networking, storage, GPU architectures, ...)
- Direct scrum team leads, and contribute technical expertise to teams in closely aligned technical areas
- Able to design innovative strategy and way of working to create a better environment for the end users, and able to construct a coordinated, stepwise plan to bring others along with the change curve
- Standard bearer for proper ways of working and engineering discipline, including CI/CD best practices and proactively spearhead improvement within their engineering area
- Serve as a technical thought leader and champion: e.g., speak at industry events, promote GSK as an attractive place to build a career and thrive as a Platform engineer, act as a key knowledge holder for the Onyx organization.
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London, Greater London, United Kingdom GSK Full timeAbout the Role:We are seeking a highly skilled Director of AI and Scientific Computing Optimization to join our team at GSK. In this role, you will be responsible for leading the optimization of our AI and scientific computing platforms, ensuring they are scalable, efficient, and meet the needs of our scientists and engineers.Key Responsibilities:Lead the...
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London, Greater London, United Kingdom GSK Full timeJob DescriptionThe Onyx Research Data Tech organization is GSK's Research data ecosystem which has the capability to bring together, analyze, and power the exploration of data at scale. We partner with scientists across GSK to define and understand their challenges and develop tailored solutions that meet their needs. The goal is to ensure scientists have...
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