Abrar Admin

University of Bristol

<div></div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>The role</b></h2>
<p></p><p>Join the University of Bristol to make rigorous causal inference from NHS data faster and more accessible. On this NIHR-funded programme, &quot;Efficient estimation of target trials in electronic health records data&quot;, you will develop computationally efficient methods and open-source software for target trial emulation &mdash; a powerful approach for estimating the effects of health care interventions from observational data. Current software can take days to run on large datasets; our aim is to make these analyses at least ten times faster and put the tools in the hands of researchers worldwide. You will work with Dr Tom Palmer, Dr Paul Madley-Dowd, Dr Venexia Walker and Professor Jonathan Sterne in Bristol, and Dr Will Hulme at the University of Oxford, joining Bristol's Electronic Health Records team in the Department of Population Health Sciences &mdash; a leading UK centre for data science and causal inference research.</p>
<p><i>
Hybrid working is available - it</i><i> would be preferable if the postholder could attend the EHR team meetings in person on a Tuesday and be in the office 2 days per week as a minimum.</i></p><br>
<p></p>
<h2 class="jobSectionHeader"><b>What will you be doing?</b></h2>
<p></p><p>You will develop efficient methodology for sequential target trial emulation &mdash; including subsampling strategies, scalable bootstrap inference for large datasets, variable-length time intervals and vectorised algorithms &mdash; and implement it in well-engineered, open-source R and Python packages (including SEQTaRget and pySEQTarget), with clear interfaces, documentation and diagnostics. You will benchmark existing R, Python and SAS implementations, run Monte Carlo simulation studies to evaluate statistical and computational performance, and apply the methods to comparative-effectiveness analyses using linked NHS electronic health records, including within the OpenSAFELY platform. You will work openly and reproducibly using Git and GitHub, collaborate with colleagues across Bristol and the UK, and disseminate your work through publications, conferences and software releases. There is scope to contribute to research funding bids and, if you wish, to teaching and supervision.</p><p></p>
<h2 class="jobSectionHeader"><b>You should apply if</b></h2>
<p></p><p>You have a strong quantitative background in medical statistics, epidemiology, data science or a related discipline, and you enjoy programming. You have experience of statistical software such as R, value open and reproducible research, and want to build high-quality tools that other researchers will use. You can develop original solutions and work independently while contributing to a team. Experience of Python, R and Python package development, Git/GitHub, SQL, causal inference methods, or NHS data sources (such as Hospital Episode Statistics) would be an advantage.</p>
<p>
The post can be appointed at Research Associate or Senior Research Associate level. For the Senior role, we also seek a relevant PhD (or equivalent experience) and a track record of peer-reviewed publications; the Research Associate role suits those earlier in their research career with an MSc (or equivalent) and working towards a PhD in a relevant quantitative subject. If you don't meet every desirable criterion but are excited by the work, we encourage you to apply.</p><p></p>
<h2 class="jobSectionHeader"><b>Additional information</b></h2>
<p></p><p><b>Contract type: Open-ended with funding for 3 years from start date (ideally, between 01/10/2026-30/09/2029)</b></p>
<p><b>
Work pattern: Full time/ 1 FTE</b></p>
<p><b>
Grade: I/J (Pathway 2)</b></p>
<p><b>
Salary: </b><b>&pound;39,906 - &pound;44,746 (Grade I) </b><b>or &pound;43,482 - &pound;50,253 (Grade J)</b></p>
<p><b>
School/Unit: Bristol Medical School</b></p>
<p><b>
Shift pattern: 35 hours per week</b></p>
<p><b>
This advert will close at 23:59 UK time on 19/07/2026</b></p>
<p><b>
For informal queries please contact: Dr Tom Palmer (</b><b>Senior Lecturer in Biostatistics Applied to Genetics):</b><b> 0117 4559644, tom.palmer@bristol.ac.uk</b></p><br>
<p></p>
<h2 class="jobSectionHeader"><b>Our strategy and mission</b></h2><br>
<p></p><p>We recently launched our strategy to 2030 tying together our mission, vision and values.</p><br>
<p></p>
<p></p><ul>
</ul></div><div><div><div>JOB NUMBER<b>
</b></div><div><h3 class="jobSectionHeader"><b>ACAD108634
</b></h3></div><div>CONTRACT TYPE/WORK PATTERN<b>
</b></div><div><h3 class="jobSectionHeader"><b>Open ended / Full time
</b></h3></div><div>POSTING END DATE<b>
</b></div><div><h3 class="jobSectionHeader"><b>19 Jul 2026
</b></h3></div><div>FACULTY/DIVISION<b>
</b></div><div><h3 class="jobSectionHeader"><b>Faculty of Health and Life Sciences
</b></h3></div><div>SALARY<b>
</b></div><div><h3 class="jobSectionHeader"><b>&pound;39,906 - &pound;44,746 (Grade I) or &pound;43,482 - &pound;50,253 (Grade J)</b></h3></div></div></div></div></div></div></div></div></div></div></div><p></p>

Research Associate / Senior Research Associate in Medical Statistics and Health Data Science

<div></div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>The role</b></h2>
<p></p><div>The Bristol Centre for Supercomputing (BriCS) runs the Isambard-AI National Artificial Intelligence Research Resource, recently announced AI Data facility and the Isambard3 Tier-2 Supercomputer. Isambard-AI is the most powerful supercomputer in the UK and amongst the most powerful in Europe.</div>
<div>The AI Supercomputing team owns the entire process of developing and operating the centre&rsquo;s compute and software infrastructure, which includes:
</div><ul><li>The sourcing of hardware and system design.
<br>
</li><li>The deployment of huge software-defined infrastructure using tools such as Kubernetes and Terraform / OpenTofu.
<br>
</li><li>Building and operating platforms to enable researchers to conduct leading-edge research using the systems.
<br>
</li><li>Optimising and refining software to ensure environmental and economic efficient use.</li>
</ul><div>As one of the largest Open AI Research Resources internationally, we are committed to catalysing an AI transformation in the research and development community.</div>
<div>In this role, you will work as part of the AI Supercomputing Team to build and operate primarily the infrastructure and compute platforms that researchers use for their work. You do not need to be an AI or computational research domain expert to deliver world-class infrastructure, but you do need to quickly obtain a deep technical understanding of new domains. You should enjoy being self-directed and identifying the most important problems to solve as the team matures with standardized tools and processes around stability, robust service delivery and scaling.
</div><div>This role supports hybrid working arrangements to provide flexibility. While the Centre's operational needs require successful candidates to start as soon as possible, we are able to accommodate individual notice periods to attract top talent.</div><p></p><div><br>
<p><b><i>
Please note:</i></b><b> This is a rolling advertisement for three full-time equivalent (FTE) positions for the same role. While a closing date is displayed on the system, applications will be reviewed on a rolling basis in tranches throughout the advertising period.</b></p>
<p><b>
The advert will close once all three positions have been filled. We therefore strongly encourage candidates to apply at the earliest opportunity to avoid disappointment.</b></p>
</div><p></p>
<h2 class="jobSectionHeader"><b>What will you be doing?</b></h2>
<p></p><p>As a member of the AI Supercomputing Team, you will;</p>
<ul>
<li>Use tools such as Python, Rust, Terraform / OpenTofu, Kubernetes, Git and Bash.</li>
</ul><ul><li>Design and operate large, highly available supercomputing services managed as software-defined infrastructures, and integrated as complete computational experiments.</li>
</ul><ul><li>You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services.</li>
</ul><ul><li>You will design and debug platforms, and will work closely with researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems.</li>
</ul><p></p>
<h2 class="jobSectionHeader"><b>You should apply if</b></h2>
<p></p><ul><li>Want to help build, maintain and secure some of the largest, modern software-defined supercomputing systems.<br>
</li>
<li>Would enjoy working with world class domain and AI researchers as your primary workload.<br>
</li>
<li>Have built small to large clusters or dabbled in building your own physical or software-defined systems, and have motivation to scale up to something massive and nationally impactful .<br>
</li>
<li>Love building large distributed, highly available systems, and want to see them used for truly open national-scale research in a cybersecurity compliant manner.</li>
</ul><div>For our AI Supercomputing Infrastructure Engineer role focusing on storage and networking, you&rsquo;ll need:</div>
<ul><li>Domain expertise in 1 or more areas from NetOps and DevOps.<br>
</li>
<li>Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree of competence in computer science or computational research.<br>
</li>
<li>Good organisational skills to manage not just your own workload but also that of less experienced members of the team.</li>
</ul><div>The available job description provides a full view of the person specification.</div><p></p>
<h2 class="jobSectionHeader"><b>Additional information</b></h2>
<p></p><p><b>For any informal enquiries, please contact Emma Rose, Centre Manager - emma.rose@bristol.ac.uk.</b></p>
<p><b>
Contract type: Open ended with fixed funding until August 2030.</b></p>
<p><b>
Work pattern: Monday - Friday, 35 hours per week.</b></p>
<p><b>
Positions available: x3 FTE</b></p>
<p><b>
Grade: K</b></p>
<p><b>
Salary: &pound;50,253 - &pound;58,225 per annum.
</b></p><p><b>School/Unit: Bristol Centre for Supercomputing (BriCS)</b></p>
<p><b>
This advert will close </b><b>at</b><b> </b><b>23:59 UK time</b><b> </b><b>on Sunday, 5th July</b></p>
<p><b>
The interview date will be confirmed shortly.</b></p><p></p>
<h2 class="jobSectionHeader"><b>Our strategy and mission</b></h2>
<p></p><div><p>We recently launched our strategy to 2030 tying together our mission, vision and values.</p><div><div><br>
</div></div><p></p><div><b><i>The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an </i></b><b><i>inclusive working environment where all colleagues can thrive and reach their full potential.</i></b><b><i> We want </i></b><b><i>to attract, develop, and retain individuals</i></b><b><i> with different experiences, backgrounds and perspectives &ndash; particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.</i></b></div><br>
<p></p>
</div><p></p><ul>
</ul></div><div><div><div>JOB NUMBER<b>
</b></div><div><h3 class="jobSectionHeader"><b>SUPP113120
</b></h3></div><div>CONTRACT TYPE/WORK PATTERN<b>
</b></div><div><h3 class="jobSectionHeader"><b>Open ended / Full time
</b></h3></div><div>POSTING END DATE<b>
</b></div><div><h3 class="jobSectionHeader"><b>05 Jul 2026
</b></h3></div><div>FACULTY/DIVISION<b>
</b></div><div><h3 class="jobSectionHeader"><b>Faculty of Science and Engineering
</b></h3></div><div>SALARY<b>
</b></div><div><h3 class="jobSectionHeader"><b>&pound;50,253 - &pound;58,225 per annum.</b></h3></div></div></div></div></div></div></div></div></div></div></div><p></p>

AI Supercomputing Infrastructure Engineer (x3 FTE)

<div></div><div><div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>The role</b></h2>
<p></p><div>The Bristol Centre for Supercomputing runs the Isambard-AI National Artificial Intelligence Research Resource, recently announced AI Data facility and the Isambard3 Tier-2 Supercomputer. Isambard-AI is the most powerful supercomputer in the UK and amongst the most powerful in Europe.
</div><ul><li>The AI Supercomputing team owns the entire process of developing and operating the centre&rsquo;s compute and software infrastructure, which includes:
<br>
</li><li>The sourcing of hardware and system design.
<br>
</li><li>The deployment of huge software-defined infrastructure using tools such as Kubernetes and Terraform / OpenTofu.
<br>
</li><li>Building and operating platforms to enable researchers to conduct leading-edge research using the systems.
<br>
</li><li>Optimising and refining software to ensure environmental and economic efficient use.
<br>
</li></ul><div>As one of the largest Open AI Research Resources internationally, we are committed to catalysing an AI transformation in the research and development community.
</div><div>In this role, you will work as part of the AI Supercomputing Team to build and operate primarily the infrastructure and compute platforms that researchers use for their work. You do not need to be an AI or computational research domain expert to deliver world-class infrastructure, but you do need to quickly obtain a deep technical understanding of new domains. You should enjoy being self-directed and identifying the most important problems to solve as the team matures with standardized tools and processes around stability, robust service delivery and scaling.</div><p></p><div><br>
<p><b><i>
Please note: </i></b><b>This is a rolling advertisement for three full-time equivalent (FTE) positions for the same role. While a closing date is displayed on the system of Sunday, 5th July, applications will be reviewed on a rolling basis in tranches throughout the advertising period.</b></p>
<p><b>
The advert will close once all three positions have been filled. We therefore strongly encourage candidates to apply at the earliest opportunity to avoid disappointment.</b></p>
</div><p></p>
<h2 class="jobSectionHeader"><b>What will you be doing?</b></h2>
<p></p><ul><li>Use tools such as Python, Rust, Terraform / OpenTofu, Kubernetes, Git and Bash.</li>
</ul><ul><li>Design and operate large, highly available supercomputing services managed as software-defined infrastructures, and integrated as complete computational experiments.</li>
</ul><ul><li>You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services.</li>
</ul><ul><li>You will design and debug platforms, and will work closely with researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems.</li>
</ul><p></p>
<h2 class="jobSectionHeader"><b>You should apply if</b></h2>
<p></p><ul><li>Want to help build, maintain and secure some of the largest, modern software-defined supercomputing systems.<br>
</li>
<li>Would enjoy working with world class domain and AI researchers as your primary workload .<br>
</li>
<li>Have supported development or operation of a small to large clusters or dabbled in building your own physical or software-defined systems.<br>
</li>
<li>Love operating large distributed, highly available systems, and want to see them used for truly open national-scale research in a cybersecurity compliant manner.<br>
</li>
</ul><div>For our AI Supercomputing Infrastructure Associate Engineer role focusing on storage and networking, you&rsquo;ll need:</div>
<ul><li>Domain knowledge in 1 or more areas from SysOps, NetOps, DevOps, SecOps, MLOps or Research Software Engineering.<br>
</li>
<li>Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree of competence in computer science or computational research.</li>
<li>Ability to contribute as a member of diverse, technical teams and to follow operational procedures.<br>
</li>
</ul><div>The available job description provides a full view of the person specification.</div><p></p>
<h2 class="jobSectionHeader"><b>Additional information</b></h2>
<p></p><p><b>For any informal enquiries, please contact Emma Rose, Centre Manager - emma.rose@bristol.ac.uk.</b></p>
<p><b>
Contract type: Open ended with fixed funding until August 2030.</b></p>
<p><b>
Work pattern: Monday - Friday, 35 hours per week.</b></p>
<p><b>
Positions available: x3 FTE</b></p>
<p><b>
Grade: J</b></p>
<p><b>
Salary: &pound;43,482 - &pound;50,253 per annum.
</b></p><p><b>School/Unit: Bristol Centre for Supercomputing (BriCS)</b></p>
<p><b>
This advert will close </b><b>at</b><b> </b><b>23:59 UK time</b><b> </b><b>on Sunday, 5th July.
</b></p><p><b>The interview date will be confirmed shortly.</b></p><p></p>
<h2 class="jobSectionHeader"><b>Our strategy and mission</b></h2>
<p></p><div><p>We recently launched our strategy to 2030 tying together our mission, vision and values.</p><div><div><br>
</div></div><p></p><div><b><i>The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an </i></b><b><i>inclusive working environment where all colleagues can thrive and reach their full potential.</i></b><b><i> We want </i></b><b><i>to attract, develop, and retain individuals</i></b><b><i> with different experiences, backgrounds and perspectives &ndash; particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.</i></b></div><br>
<p></p>
</div><p></p><ul>
</ul></div><div><div><div>JOB NUMBER<b>
</b></div><div><h3 class="jobSectionHeader"><b>SUPP113121
</b></h3></div><div>CONTRACT TYPE/WORK PATTERN<b>
</b></div><div><h3 class="jobSectionHeader"><b>Open ended / Full time
</b></h3></div><div>POSTING END DATE<b>
</b></div><div><h3 class="jobSectionHeader"><b>05 Jul 2026
</b></h3></div><div>FACULTY/DIVISION<b>
</b></div><div><h3 class="jobSectionHeader"><b>Faculty of Science and Engineering
</b></h3></div><div>SALARY<b>
</b></div><div><h3 class="jobSectionHeader"><b>&pound;43,482 - &pound;50,253 per annum.</b></h3></div></div></div></div></div></div></div></div></div></div></div><p></p>

AI Infrastructure Associate Engineer (3 x FTE)

Join University of Bristol and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

University of Bristol

About Company

Research Associate / Senior Research Associate in Medical Statistics and Health Data Science

AI Supercomputing Infrastructure Engineer (x3 FTE)

AI Infrastructure Associate Engineer (3 x FTE)