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- Tasks: Lead health-data analytics for mental health trials and ensure data quality.
- Company: The University of Manchester, a leader in mental health research.
- Benefits: Market-leading pension, health services, generous leave, and flexible working options.
- Other info: Join a dynamic environment with opportunities for professional growth.
- Why this job: Make a real difference in mental health while leading a talented team.
- Qualifications: Experience in data analysis and leadership skills required.
The predicted salary is between 50000 - 65000 £ per year.
The University of Manchester is seeking a Senior Analyst to lead the DATAMIND-Observatory, providing analytical direction on health-data analytics for mental health trials.
Responsibilities include:
- Ensuring data quality
- Collaborating with project partners
- Supervising a team of analysts
The role offers a robust benefits package including a market-leading pension scheme, health services, and generous leave entitlements. Flexible and hybrid working arrangements may be considered.
Senior Data Scientist, Mental Health Real-World Evidence 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 Data Scientist, Mental Health Real-World Evidence in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the mental health data space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for those interviews! Brush up on your analytical skills and be ready to discuss real-world evidence in mental health. We recommend practising common interview questions with a friend or even in front of the mirror.
✨Tip Number 3
Showcase your passion for mental health! When you get the chance to chat with potential employers, share why this field matters to you. Authenticity can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist, Mental Health Real-World Evidence in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience in health-data analytics and any relevant projects you've worked on, especially those related to mental health trials.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this position. Share your passion for mental health data and how your analytical skills can contribute to the DATAMIND-Observatory.
Showcase Your Team Leadership Skills: Since you'll be supervising a team of analysts, it's important to demonstrate your leadership experience. Include examples of how you've successfully led teams or projects in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at The University of Manchester
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll need to demonstrate your expertise in health-data analytics. Brush up on the latest trends and methodologies in mental health trials, and be ready to discuss how you've ensured data quality in your previous roles.
✨Showcase Your Leadership Skills
Since this role involves supervising a team of analysts, it's crucial to highlight your leadership experience. Prepare examples of how you've successfully led projects or mentored team members, focusing on collaboration and achieving results.
✨Understand the Project Partners
Familiarise yourself with the University of Manchester and its project partners. Knowing their goals and how they align with your expertise will help you articulate how you can contribute to the DATAMIND-Observatory effectively.
✨Be Ready for Flexibility Questions
With flexible and hybrid working arrangements on the table, be prepared to discuss your preferences and how you manage your time effectively. Show that you're adaptable and can thrive in various working environments.