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- Tasks: Analyse mental health care data sets and contribute to impactful research.
- Company: Join Lancaster University's Mental Health Research Group, a leader in innovative research.
- Benefits: Flexible work environment and competitive salary ranging from £39,906 to £46,049.
- Other info: Indefinite contract based on external funding with opportunities for growth.
- Why this job: Make a real difference in mental health through data science.
- Qualifications: Degree or PhD in relevant field with experience in data science and mental health research.
The predicted salary is between 39906 - 46049 £ per year.
Lancaster University is seeking a Senior Research Associate in Data Science to join its Mental Health Research Group. This full-time role focuses on analysing mental health care data sets.
Candidates should possess a degree or PhD in a relevant field and have experience in data science and mental health research. Ideal candidates will be skilled in R, Stata, SQL, or Python, and familiar with NHS data.
The position offers a flexible work environment and an indefinite contract contingent on external funding, with a salary range of £39,906 to £46,049.
Senior Research Associate, Data Science - Mental Health employer: Lancaster University
Contact Detail:
Lancaster University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Associate, Data Science - Mental Health
✨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
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to mental health. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in data science and mental health research. We recommend practising with a friend or even in front of the mirror to build your confidence and nail that interview!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Research Associate, Data Science - Mental Health
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and mental health research. We want to see how your skills in R, Stata, SQL, or Python align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about mental health research and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Skills: When applying, be sure to mention any specific experiences you have with NHS data or similar datasets. We’re looking for candidates who can hit the ground running, so let us know how you’ve tackled data challenges in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Lancaster University
✨Know Your Data Science Tools
Make sure you brush up on your skills in R, Stata, SQL, and Python. Be ready to discuss specific projects where you've used these tools, especially in the context of mental health data. This will show that you not only have the technical skills but also understand their application in real-world scenarios.
✨Familiarise Yourself with NHS Data
Since the role involves working with NHS data, it’s crucial to demonstrate your understanding of how this data is structured and used. Research common datasets and be prepared to discuss any relevant experience you have with NHS data or similar health-related datasets.
✨Prepare for Behavioural Questions
Expect questions about teamwork, problem-solving, and how you handle challenges in research. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you convey your experiences clearly and effectively.
✨Show Passion for Mental Health Research
Express your genuine interest in mental health and how your background aligns with the goals of the Mental Health Research Group. Share any personal motivations or experiences that drive your passion for this field, as this can set you apart from other candidates.