Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead high-quality health-data analytics for mental health trials and supervise a team of analysts.
- Company: Join a leading university with a commitment to mental health research and innovation.
- Benefits: Enjoy a fantastic pension scheme, excellent health services, and generous annual leave.
- Other info: Flexible working arrangements available, promoting a healthy work-life balance.
- Why this job: Make a real impact in mental health while developing your analytical skills in a collaborative environment.
- Qualifications: Experience in health data analytics and strong leadership skills required.
The predicted salary is between 55000 - 65000 £ per year.
The post holder will provide senior analytical leadership for the DATAMIND-Observatory, developing and overseeing the delivery of high-quality health-data analytics that support industry partners in planning and conducting mental-health trials in the UK. This is a collaborative role, working closely with the project lead, project manager and wider stakeholders at Manchester and across the Mental Health Goals programme. The role will ensure that datasets, methods and analytic workflows are robust, transparent and reproducible, and that outputs meet the needs of both technical and non-technical stakeholders. The post holder will build and maintain expertise in key UK data assets, lead structured assessments of data quality and readiness, produce robust and reproducible analysis plans and ensure compliance with all governance requirements. They will apply advanced analytical methodologies to generate high-quality real-world evidence, supervise a team of analysts, promote good analytic practice and contribute to the strategic growth and methodological development of the Observatory.
Responsibilities
- Provide senior analytical leadership for the DATAMIND-Observatory.
- Develop and oversee the delivery of high-quality health-data analytics for mental-health trials.
- Work collaboratively with project leads, managers and stakeholders.
- Ensure datasets, methods and analytic workflows are robust, transparent and reproducible.
- Ensure outputs meet the needs of technical and non-technical stakeholders.
- Build and maintain expertise in key UK data assets.
- Lead structured assessments of data quality and readiness.
- Produce robust and reproducible analysis plans.
- Ensure compliance with governance requirements.
- Apply advanced analytical methodologies to generate real-world evidence.
- Supervise a team of analysts.
- Promote good analytic practice.
- Contribute to the strategic growth and methodological development of the Observatory.
Benefits
- Fantastic market leading Pension scheme.
- Excellent employee health and wellbeing services, including 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.
- Our University is positive about flexible working and hybrid working arrangements may be considered.
Equal Opportunity
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.
Senior Research Fellow (Mental Health Programme) employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Fellow (Mental Health Programme)
✨Tip Number 1
Network like a pro! Reach out to your connections in the mental health and data analytics fields. Attend relevant events or webinars, and don’t be shy about introducing yourself to potential collaborators or employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your previous work in health-data analytics. Include case studies or examples of how you've tackled complex problems. This will help us see your analytical leadership skills in action and how you can contribute to our DATAMIND-Observatory.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of UK data assets and governance requirements. Be ready to discuss how you ensure data quality and reproducibility in your work. We want to hear your thoughts on promoting good analytic practices and how you would lead a team of analysts.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive and engaged with our organisation. Don’t miss out on the chance to join our fantastic team!
We think you need these skills to ace Senior Research Fellow (Mental Health Programme)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in health-data analytics and mental health trials. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Collaboration Skills: Since this role involves working closely with various stakeholders, it’s important to demonstrate your ability to collaborate effectively. Share examples of past teamwork and how you’ve contributed to successful outcomes.
Highlight Analytical Expertise: We’re looking for someone who can lead analytical efforts, so be sure to emphasise your experience with advanced analytical methodologies. Include specific tools or techniques you’ve used to generate real-world evidence.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at The University of Manchester
✨Know Your Data Inside Out
Make sure you’re well-versed in the key UK data assets relevant to the role. Brush up on your knowledge of health-data analytics and be ready to discuss how you would ensure datasets are robust and reproducible.
✨Showcase Your Leadership Skills
As a Senior Research Fellow, you'll be supervising a team of analysts. Prepare examples of how you've successfully led teams in the past, focusing on promoting good analytic practices and fostering collaboration.
✨Understand Stakeholder Needs
This role involves working with both technical and non-technical stakeholders. Think about how you can communicate complex analytical concepts in a way that’s accessible to everyone. Be ready to share strategies for ensuring outputs meet diverse needs.
✨Prepare for Governance Questions
Compliance is key in this role. Familiarise yourself with governance requirements related to health data analytics and be prepared to discuss how you would ensure adherence to these standards in your work.