Title: Statistical Editor – Maternity Cover
Specifications: Fixed Term Contract for 1 year, 3 days per week including Wednesdays and Thursdays.
Salary: £49,000 FTE Per Annum £29,400 at 0.6 FTE
Hours: 22.5 hours per week
Location: Remote first (home based) with some travel expected for in person meetings, United Kingdom, Germany or Denmark
Closing date: 6 March 2026
Interview date: w/c 23 March 2026
Cochrane is a global, independent network of health practitioners, researchers, patient advocates and others, responding to the challenge of making vast amounts of research evidence useful for informing decisions about health. We do this by synthesising research findings to produce the best available evidence on what can work, what might harm and where more research is needed.Our work is recognised as the international gold standard for high quality, trusted information. Though we are spread out across the globe, our shared passion for health evidence unites us and it is important that the role holder can work effectively and collaboratively with a diverse range of contacts across the world.
Our Central Executive Team supports this work and is divided into four directorates.
This role reports to the Methods Support Manager and sits within the Methods Support team in the Evidence Production and Methods Directorate.
Key areas of responsibility include:
- Providing advanced methodological advice/support to high priority reviews
- Providing advanced methodological advice and support to colleagues in the Evidence Production and Methods Directorate as required;
- Providing methods and statistical peer review on reviews submitted to the Central Editorial Service as required;
- Supporting the development of editorial resources for reviews that use complex methods
- Developing guidance and resources on statistical topics
The successful candidate is expected to have:
- Post-graduate degree in medical statistics
- Involvement in epidemiology or statistical research
- Familiarity with statistical methods used in pairwise and network meta-analysis and with general evidence synthesis methods
- Familiarity with methods used for the synthesis of non-randomised studies
- Good understanding of appraising different study designs
- Familiarity with best practices in the statistical analysis of different study designs
Don’t have every single qualification? We know that some people are less likely to apply for a job unless they are a perfect match. At Cochrane, we’re not looking for “perfect matches.” We’re looking to welcome people to our diverse, inclusive, and passionate workplace. So, if you’re excited about this role but don’t have every single qualification, we encourage you to apply anyway. Whether it’s this role or another one, you may be just the right candidate.
Our organization is built on four core values: Collaboration: Underpins everting we do, locally and globally. Relevant: The right evidence at the right time in the right format. Integrity: Independent and transparent. Quality: Reviewing and improving what we do, maintaining rigour and trust.
You can expect:
- An opportunity to truly impact health globally
- A flexible work environment which includes remote-first working (although you will be required to attend in person meetings from time to time, depending on your location and the needs of the role)
- An environment where people feel welcome, heard, and included, regardless of their differences
Cochrane welcomes applications from a wide range of perspectives, experiences, locations and backgrounds; diversity, equity and inclusion are key to our values. We are a Disability Confident Employer which means that applications from candidates who share they are disabled, and who meet the criteria for the role, will be guaranteed an interview.
How to apply
- For further information on the role and how to apply, please click here Statistical Editor – Maternity Cover
- The deadline to receive your application is 6 March 2026.
- The supporting statement should indicate why you are applying for the post, and how far you meet the requirements, using specific examples
- Please read the Candidate Guide which gives you more information about our employee benefits and outlines what you can expect from the application process Candidate Pack
- Read our Recruitment Privacy Statement
