At a Glance
- 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 employer: The University of Manchester
The University of Manchester is an exceptional employer, offering a dynamic work environment that fosters collaboration and innovation in the field of mental health research. With a strong commitment to employee well-being, the university provides a comprehensive benefits package, including a market-leading pension scheme and generous leave entitlements, alongside opportunities for professional growth and development within a supportive team culture. The flexibility of hybrid working arrangements further enhances the appeal of this role, making it an ideal choice for those seeking meaningful and rewarding employment.
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
✨Tip Number 1
Network like a pro! Reach out to professionals in the mental health and data science fields 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 and even doing mock interviews with friends.
✨Tip Number 3
Showcase your projects! If you've worked on relevant data analytics projects, make sure to highlight them during interviews. We love seeing how candidates apply their skills to real-world problems, especially in mental health.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else. Don’t miss out!
We think you need these skills to ace Senior Data Scientist, Mental Health Real-World Evidence
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.
Showcase Your Skills:In your cover letter, don’t just list your skills—show us how you’ve used them in real-world scenarios. We want to see examples of how you've ensured data quality and collaborated with teams.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate clarity as much as we value expertise!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us!
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 preferred working style. Think about how you can balance remote work with team collaboration, and be ready to share your thoughts on maintaining productivity in different environments.
