At a Glance
- Tasks: Develop predictive tools and oversee mental health analytics for industry partners.
- Company: Join a leading research team focused on mental health innovation.
- Benefits: Market-leading pension, health services, generous leave, and festive closures.
- Other info: Enjoy hybrid working and be part of an inclusive, diverse community.
- Why this job: Make a real impact in mental health trials while collaborating with top experts.
- Qualifications: Experience in analytics and a passion for mental health research.
The predicted salary is between 40000 - 50000 € per year.
The post holder will provide analytical input for the DATAMIND‑Observatory, developing and overseeing the delivery of mental health 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, including strong collaboration with the Alliance Management workstream based at King’s College London.
Responsibilities
- Develop predictive tools for trial planning.
- Ensure datasets, methods and analytic workflows are robust, transparent and reproducible.
- Build and maintain expertise in key UK data assets and lead structured assessments of data quality and readiness.
- Produce robust and reproducible analysis plans, and ensure compliance with all governance requirements.
- 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.
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
Equal Opportunities
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.
Working Arrangements
Hybrid working arrangements may be considered.
Research Fellow (Mental Health Programme) in Manchester employer: The University of Manchester
As a leading institution in mental health research, we offer our Research Fellows an exceptional work environment that fosters collaboration and innovation. Located in Manchester, our team benefits from a strong support system, including a market-leading pension scheme, comprehensive health and wellbeing services, and generous leave entitlements. We are committed to employee growth, providing opportunities for professional development while promoting a culture of inclusivity and equal opportunity.
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow (Mental Health Programme) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the mental health field, especially those connected to the DATAMIND-Observatory. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your analytical skills! When you get the chance to speak with potential employers, be ready to discuss your experience with predictive tools and data quality assessments. We want to see how you can contribute to our mission!
✨Tip Number 3
Prepare for interviews by brushing up on advanced analytical methodologies. Be ready to share examples of how you've applied these in real-world scenarios. This will demonstrate your expertise and fit for the role.
✨Tip Number 4
Don't forget to 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 about their job search.
We think you need these skills to ace Research Fellow (Mental Health Programme) in Manchester
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Research Fellow role. Highlight your experience in mental health analytics and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Analytical Skills:Since this role involves developing predictive tools and ensuring data quality, be sure to include specific examples of your analytical methodologies. We love seeing how you’ve applied advanced techniques in real-world scenarios!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point!
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. We can’t wait to hear from you!
How to prepare for a job interview at The University of Manchester
✨Know Your Analytics Inside Out
Make sure you brush up on the latest analytical methodologies relevant to mental health. Be prepared to discuss how you've applied these methods in past projects, and think about how you can adapt them for the DATAMIND-Observatory.
✨Familiarise Yourself with Data Quality Standards
Understand the importance of data quality and readiness in your role. Be ready to talk about how you ensure datasets are robust and reproducible, and share examples of how you've tackled data quality issues in previous roles.
✨Showcase Your Collaborative Spirit
This role involves working closely with various stakeholders, so highlight your teamwork skills. Prepare examples of successful collaborations, especially in a research or analytical context, to demonstrate your ability to work effectively with others.
✨Prepare Questions About the Role
Think of insightful questions to ask during the interview. This shows your genuine interest in the position and helps you understand how you can contribute to the team’s goals, particularly in developing predictive tools for trial planning.
