Posted 20 June, 2026
Senior Research Fellow (Mental Health Programme)
The University of Manchester
Manchester, Greater Manchester M1, United Kingdom
Full Time
Reference: 763219297
This is an exciting opportunity for an ambitious quantitative researcher to provide senior analytical leadership for the DATAMIND-Observatory. You will be at the forefront of accessing novel, high-quality UK mental-health data assets and will drive methodological innovation, leading a team of researchers and overseeing analytics that enable industry partners to optimise mental-health trials in the UK. This is a collaborative role, working closely with the project lead, project manager and partners across the Mental Health Goals programme.
You will apply advanced analytical methods to generate high-quality real-world evidence, build deep expertise in key UK data assets, and lead structured assessments of their quality and readiness. You will produce analysis plans that are robust, reproducible and trusted by both technical and non-technical stakeholders, set the standard for good analytic practice, and help shape the strategic and methodological direction of the Observatory.
What you will get in return:
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working - you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to [email protected] .
Any CV's submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Matthias Pierce
Email: [email protected]
General enquiries:
Email: [email protected]
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
You will apply advanced analytical methods to generate high-quality real-world evidence, build deep expertise in key UK data assets, and lead structured assessments of their quality and readiness. You will produce analysis plans that are robust, reproducible and trusted by both technical and non-technical stakeholders, set the standard for good analytic practice, and help shape the strategic and methodological direction of the Observatory.
What you will get in return:
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working - you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to [email protected] .
Any CV's submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Matthias Pierce
Email: [email protected]
General enquiries:
Email: [email protected]
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
