OpenSAFELY Jobs
OpenSAFELY Jobs provides an audit trail for every project using the OpenSAFELY platform. It logs all activity that uses real patient data. It includes links to all the analytic code ever run, and all published outputs.
Authorised users can use this site to manage their projects and trigger their code to run in one of the secure environments.
Why OpenSAFELY?
Better research, improved patient confidentiality
OpenSAFELY is a highly secure, transparent, open-source software platform for analysis of electronic health records data.
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Protecting privacy
- We never let researchers download patient data, and OpenSAFELY tools let users to write code to analyse patient data without even needing to view the raw records.
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Auditable by the public
- It is a privilege to use patient data for the public good. OpenSAFELY respects patients by carefully considering this in every part of its design.
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Better, open science
- OpenSAFELY requires publication of all analytic code, and our tools drive all users to produce prespecified, reusable, testable, shareable and modular software for research.
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Enabling high volumes of research
- Over 25 organisations have used OpenSAFELY to create published research.
Working In Partnership With
Latest Analyses on Active Backend
Most recent job requests run against active backends on the OpenSAFELY platform
| Status | Organisation | Project | User | Started | View request |
|---|---|---|---|---|---|
| Pending | Bennett Institute | Impact and inequalities of winter pressures in primary care: providing the evidence base for mitigation strategies | Shrinkhala Dawadi | - | View, Job request 26562 |
| Running | University of Oxford | Improving disease burden estimation in England | Arina Tamborska | 28 Jul 2026 at 00:58 | View, Job request 26561 |
| Succeeded | Bennett Institute | OpenSAFELY Internal | Becky Smith | 27 Jul 2026 at 15:15 | View, Job request 26560 |
| Running | UKHSA | Identify risk factors associated with disparities for resistant bloodstream infections, before, during and after the global COVID-19 pandemic; a national case-control and cohort study | Billy Zhong | 25 Jul 2026 at 22:22 | View, Job request 26559 |
| Succeeded | King's College London | Evaluating the implementation of NICE gout guidance within the NHS | Mark Russell | 25 Jul 2026 at 04:00 | View, Job request 26558 |
| Failed | UKHSA | Identify risk factors associated with disparities for resistant bloodstream infections, before, during and after the global COVID-19 pandemic; a national case-control and cohort study | Billy Zhong | 24 Jul 2026 at 18:16 | View, Job request 26557 |
| Succeeded | Bennett Institute | Short data report: Recording of personalised follow-up pathways in OpenSAFELY | Andrea Schaffer | 24 Jul 2026 at 16:21 | View, Job request 26556 |
| Succeeded | Bennett Institute | Short data report: Recording of personalised follow-up pathways in OpenSAFELY | Andrea Schaffer | 24 Jul 2026 at 15:36 | View, Job request 26555 |
| Running | University of Manchester | OpenPREGnosis: Developing an Open Algorithm to Identify Pregnancy Episodes and Outcomes in OpenSAFELY | Paolo Mazzone | 24 Jul 2026 at 15:11 | View, Job request 26554 |
| Succeeded | King's College London | Evaluating the implementation of NICE gout guidance within the NHS | Mark Russell | 24 Jul 2026 at 13:18 | View, Job request 26553 |