HPC Engineer - Generative Biology Institute Generative Biology Institute England, Unite

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionaryscientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO2
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more .org.

Led by Founding Director Jason Chin, the Generative Biology Institute (GBI) at the Ellison Institute of Technology is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity.

The vision of the GBI is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions.

Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more.

GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning.

The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate.

The Generative Biology Institute commenced operations in 2025, occupying newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the-art facility will include more than 40000 m2 of research laboratory and office space. It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT’s Humane Endeavors.

Working as part of a new Scientific Computing team within GBI, the HPC Engineer will help operate, improve, and scale the data and computing platform that will enable cutting-edge research in engineering biology. This is a broad, hands-on role at the interface of Linux systems, high-performance computing, cloud infrastructure, Kubernetes, Slurm, storage, monitoring, and researcher support. They will help turn emerging researcher needs and operational lessons into robust platform improvements, reusable tooling, and clear runbooks.

This role is particularly suited to someone who enjoys practical systems work, learning new technologies, and collaborating closely with scientists and engineers.
We do not expect candidates to have deep experience in every technology listed in this description
. Instead, we are looking for a strong, scientifically minded systems engineer: someone who can troubleshoot complex environments, communicate clearly with multidisciplinary teams, learn unfamiliar tools quickly, and help build reliable, scalable services that advance GBI’s scientific mission.