Bioinformatician - Generative Biology Institute

About the role

At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, 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. Welcome to the Generative Biology Institute 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, 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 to 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 40,000 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. Your Role The Bioinformatics Tech Hub within the GBI is seeking a Bioinformatician to help deliver the collaborative, high-quality science of the Institute. We do not expect candidates to have deep experience in every area listed in this description ; instead, we are looking for a strong scientific mindset - someone who can understand research needs, communicate clearly with multidisciplinary teams, learn unfamiliar technologies quickly, and help deliver reproducible and scalable research. We are interested in receiving applications from individuals with backgrounds that will help diversify the skills and knowledge available within the Tech Hub. Joining the existing Bioinformatics team, the post holder will have the opportunity to integrate with and help develop the science of the Institute. This role is particularly suited to someone who enjoys working across domains, learning new tools and skills, and collaborating closely with researchers and other Tech Hub staff, especially within Scientific Computing and AI/ML. Key Responsibilities To provide data analysis and interpretation for GBI researchers , assisting, where required, in manuscript preparation and submission. To participate in developing and implementing bioinformatics strategies, programs, and workflows that support the experimental programmes of GBI, including synthetic biology, genome design, and molecular evolution across microbial, mammalian, and plant biology applications. To ensure reproducibility, version control, and documentation for all analyses and pipelines, contributing to open science and collaborative research. To organise and prioritise work , operating at the highest standard to defined deadlines. To ensure compliance with best practices in biological data handling , ensuring effective integration of biological data with laboratory and experimental metadata. To assist in the design and delivery of high-quality training to GBI staff and researche

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Ellison Institute of Technology? Share your experience