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 |
|---|---|---|---|---|---|
| Succeeded | Bennett Institute | Migration-related coding in English primary care electronic health records | Yamina Boukari | 55 minutes ago | View, Job request 26049 |
| Succeeded | University of Manchester | OpenPREGnosis: Developing an Open Algorithm to Identify Pregnancy Episodes and Outcomes in OpenSAFELY | Paolo Mazzone | 2 hours ago | View, Job request 26048 |
| Succeeded | 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 | 06 May 2026 at 17:02 | View, Job request 26047 |
| 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 | 06 May 2026 at 15:26 | View, Job request 26046 |
| 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 | 06 May 2026 at 14:48 | View, Job request 26045 |
| Succeeded | University of Manchester | OpenPREGnosis: Developing an Open Algorithm to Identify Pregnancy Episodes and Outcomes in OpenSAFELY | Paolo Mazzone | 06 May 2026 at 12:37 | View, Job request 26044 |
| Succeeded | University of Manchester | OpenPREGnosis: Developing an Open Algorithm to Identify Pregnancy Episodes and Outcomes in OpenSAFELY | Paolo Mazzone | 06 May 2026 at 11:24 | View, Job request 26043 |
| Succeeded | University of Manchester | OpenPREGnosis: Developing an Open Algorithm to Identify Pregnancy Episodes and Outcomes in OpenSAFELY | Paolo Mazzone | 06 May 2026 at 10:23 | View, Job request 26042 |
| Running | Bennett Institute | Impact and inequalities of winter pressures in primary care: providing the evidence base for mitigation strategies | Ruth Costello | 3 hours ago | View, Job request 26041 |
| Succeeded | University of Manchester | OpenPREGnosis: Developing an Open Algorithm to Identify Pregnancy Episodes and Outcomes in OpenSAFELY | Paolo Mazzone | 06 May 2026 at 08:40 | View, Job request 26040 |