(Or Senior) Data Platform Architect - Generative Biology Institute job opportunity at Ellison Institute of Technology.

Home Jobs In United Kingdom Tag: Job (Or Senior) Data Platform Architect - Generative Biology Institute position at Ellison Institute of Technology


Date2026-02-18T12:22:50.669Z bot
Ellison Institute of Technology (Or Senior) Data Platform Architect - Generative Biology Institute
Experience: 3-years
Pattern: Full-time
Country:
apply Apply Now
Salary:
Status:

Job

Copy Link Report
degreeOND
loacation Oxford, United Kingdom
loacation Oxford....United Kingdom

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. Explore more at www.eit.org . 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, 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 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: At EIT we are seeking an experienced and detail orientated Data Platform Architect to play a pivotal part in designing and implementing cutting-edge data platforms to support the GBI mission. You'll collaborate closely with cross-functional teams to understand research requirements and translate them into robust data models and architectures. As a Data Platform Architect, you'll have the opportunity to shape the future of our data platform and collaborate with research and product teams to deliver analytical and AI products to transform accelerate bioscience discovery and translational research. You'll be responsible for defining and implementing data standards, data models and best practices to ensure the integrity, security, and accessibility of our data assets. Additionally, you'll play a key role in optimising data processes and workflows, driving efficiencies, and fostering a data-driven culture within the organization. This is a role for computing systems engineers and researcher who think long-term and want to help build a research infrastructure that will underpin the next generation of scientific and technological discovery. It is unlikely that one person can meet all of our criteria, so if you can meet the essential ones and can demonstrate how you will be placed to deliver the responsibilities outlined below, we would strongly you to apply. Key Responsibilities (at all levels): Formulating the data model and standards to be used by GBI’s data platform to support interoperability, automation, and bioscience research. Collaborate with various stakeholder groups to ensure GBI’s data platform works seamless with similar systems across EIT and external collaborator. Responsible for producing architecture artifacts and presenting the work through architecture governance. Developing data platform including different data flows, data lifecycle, data security, durability, provenance, as well as applying consistent documentation standards and architecture methods. Supporting developers and researchers, making sure they can fully utilize the data platform by a combination of mentoring and direct involvement. (senior level hires only) Manage GBI’s data platform on HPC environments, including Linux-based clusters, schedulers (e.g., Slurm), and high-performance storage systems (e.g., Lustre, BeeGFS, GPFS). (senior level hires only ) Support reproducible research through data provenance, containerization (Singularity, Docker, etc.), workflow orchestration (Nextflow, Kubernetes, OpenHPC, etc.), and MLOps. Essential Knowledge, Skills and Experience: Knowledge of master, metadata and reference data management Knowledge of architecting and delivering modern data platform standards, tools and patterns including data lakes, lake houses, iceberg, data mesh Ability to work collaboratively with multidisciplinary research teams and translate computational needs into technical solutions. Desirable Knowledge, Skills and Experience: Experience architecting, building, and delivering modern data platforms at scale (senior level hires only) 3+ years of relevant experience managing HPC systems in research, biological and biomedical, or academic environment (senior level hires only) Extensive experience designing, deploying, and managing storage systems for HPC clusters (or cloud computing) in scientific or research settings. Key Attributes: Collaboration Ability to work in a fast-paced environment Willingness to learn and cross train / upskill in new technology Willingness to be hands on to explore new technology or develop POC’s  

Other Ai Matches

Research Engineer Applicants are expected to have a solid experience in handling Job related tasks
CMMS Administrator Applicants are expected to have a solid experience in handling Job related tasks
Principal Investigators (All Levels) - Generative Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Data Engineer Applicants are expected to have a solid experience in handling Job related tasks
Genomics Data Analyst Applicants are expected to have a solid experience in handling Job related tasks
Logistics and Distributions Administrator Applicants are expected to have a solid experience in handling Job related tasks
Senior Scientist, Biotechnology - Pathogen Applicants are expected to have a solid experience in handling Biotechnology - Pathogen related tasks
Security Operations Engineer Applicants are expected to have a solid experience in handling Job related tasks
Director of Health and Safety Applicants are expected to have a solid experience in handling Job related tasks
Bio-ML Scientists (Senior & Non Senior) - Generative Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Fire Safety Officer Applicants are expected to have a solid experience in handling Job related tasks
Clinical Data Analyst Applicants are expected to have a solid experience in handling Job related tasks
Head of Bioinformatics - Plant Biology Institute Applicants are expected to have a solid experience in handling Job related tasks
Technical Project Manager Applicants are expected to have a solid experience in handling Job related tasks
Electronic Instrumentation Engineer - Pathogen Applicants are expected to have a solid experience in handling Job related tasks
Postdoctoral Research Fellow - Economics Applicants are expected to have a solid experience in handling Job related tasks
(Senior) Group Leader, Advanced Genome Technologies - Plant Biology Institute Applicants are expected to have a solid experience in handling Advanced Genome Technologies - Plant Biology Institute related tasks
Applications Scientist - Pathogen Applicants are expected to have a solid experience in handling Job related tasks
Product Manager - Estates & Facilities Applicants are expected to have a solid experience in handling Job related tasks
Repair and Maintenance Technician Applicants are expected to have a solid experience in handling Job related tasks
(Senior) Group Leader, Yield and Photosynthesis - Plant Biology Institute Applicants are expected to have a solid experience in handling Yield and Photosynthesis - Plant Biology Institute related tasks
(Senior or Non Senior) Computational Genomics Scientist - Pathogen Applicants are expected to have a solid experience in handling Job related tasks
Scientific Communications Manager - Generative Biology Institute Applicants are expected to have a solid experience in handling Job related tasks