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- Tasks: Lead high-quality health-data analytics for mental health trials and supervise a team of analysts.
- Company: Join a leading university with a focus on mental health research and collaboration.
- Benefits: Enjoy a fantastic pension scheme, generous leave, and employee wellbeing services.
- Other info: Flexible working options available and commitment to equal opportunities.
- Why this job: Make a real impact in mental health while developing your analytical skills.
- 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.
- 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 include a fantastic market leading pension scheme, excellent employee health and wellbeing services, exceptional starting annual leave entitlement, additional paid closure over the Christmas period, and 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.
Senior Research Fellow (Mental Health Programme) in Manchester 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) in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the mental health field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get involved in relevant online communities or forums. Engaging with others in the mental health analytics space can help you learn about job openings and trends, plus it shows your passion for the field!
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, drop a quick email to the hiring manager expressing your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Prepare for interviews by brushing up on your analytical methodologies and real-world evidence generation. Be ready to discuss how you can contribute to the strategic growth of the DATAMIND-Observatory and impress them with your insights!
We think you need these skills to ace Senior Research Fellow (Mental Health Programme) in Manchester
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. We want to see how your skills align with the responsibilities outlined in the job description.
Showcase Your Leadership Skills: As a Senior Research Fellow, you'll be leading a team. Use your application to demonstrate your previous leadership experiences and how you've successfully managed projects or teams in the past.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role. Avoid jargon unless it's necessary!
Apply Through Our Website: We encourage you 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!
How to prepare for a job interview at The University of Manchester
✨Know Your Data Inside Out
As a Senior Research Fellow, you'll be expected to have a deep understanding of health data analytics. Brush up on key UK data assets and be ready to discuss how you would assess data quality and readiness. This shows your analytical leadership and commitment to robust methodologies.
✨Collaborate Like a Pro
This role involves working closely with project leads and stakeholders. Prepare examples of past collaborations where you successfully navigated different perspectives. Highlight your ability to communicate complex data insights to both technical and non-technical audiences.
✨Showcase Your Analytical Skills
Be prepared to discuss advanced analytical methodologies you've applied in previous roles. Bring specific examples of how your analyses generated real-world evidence and contributed to strategic growth. This will demonstrate your expertise and innovative thinking.
✨Emphasise Governance and Compliance
Understanding governance requirements is crucial for this position. Familiarise yourself with relevant regulations and be ready to explain how you've ensured compliance in past projects. This will show that you take responsibility seriously and can lead with integrity.