At a Glance
- Tasks: Lead impactful research linking health and education data for children in England.
- Company: Join a prestigious university committed to diversity and innovation.
- Benefits: 41 days holiday, pension scheme, on-site gym, and employee support services.
- Other info: Encouraging diverse applicants to foster creativity and inclusivity.
- Why this job: Make a real difference in child health while advancing your career.
- Qualifications: MSc or PhD in relevant fields with strong statistical software skills.
The predicted salary is between 45103 - 52586 € per year.
This post is an exciting opportunity for an experienced Health Data Scientist to contribute to the management of ECHILD, a data resource linking administrative data from health, education and children’s social care for all children in England. The postholder will facilitate policy-relevant research on health and education across the early lifecourse by supporting data users with data extractions, data documentation, and epidemiological and statistical methodology. The Data Scientist will act as a key point of contact, responding to queries and carrying out feasibility checks, signposting to resources and providing technical and governance support.
You will have an MSc or PhD in a relevant discipline (e.g. statistics, epidemiology, public health, health data science). You will have advanced quantitative and statistical software skills using standard software (e.g. Stata, R) and experience of analysing administrative datasets from health or education. Experience of working in child health would be an advantage. You will have excellent written and verbal communication skills.
What we offer:
- 41 days holiday (including 27 days annual leave, 8 bank holidays and 6 closure days)
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- On-site nursery
- On-site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
- Discounted medical insurance
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Senior Data Scientist employer: UK Dementia Research Institute
As a leading institution in health data science, we offer an exceptional work environment that prioritises employee well-being and professional growth. With generous benefits such as 41 days of holiday, a defined benefit pension scheme, and on-site facilities including a gym and nursery, our culture fosters collaboration and innovation. Join us in London, where your expertise will contribute to impactful research that shapes health and education policies for children across England.
Contact Detail:
UK Dementia Research Institute Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the health data science field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving health data analysis. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to data science and health analytics. Practice explaining your past projects clearly and confidently, as communication is key in this role.
✨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 Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your relevant experience in health data science, especially any work with administrative datasets. We want to see how your skills match what we're looking for!
Showcase Your Skills:Don’t forget to showcase your advanced quantitative and statistical software skills! Mention your experience with tools like Stata or R, and any specific projects where you’ve used these skills. This is your chance to shine!
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share your passion for health data science and how you can contribute to ECHILD. Keep it engaging and make sure to connect your experiences to the job description.
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at UK Dementia Research Institute
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be expected to have a deep understanding of health data. Brush up on your knowledge of administrative datasets and be ready to discuss your experience with tools like Stata and R. Prepare examples of how you've used these tools in past projects to solve real-world problems.
✨Showcase Your Communication Skills
This role requires excellent written and verbal communication skills. Practice explaining complex statistical concepts in simple terms, as you may need to support data users who aren't as familiar with the technical side. Think of scenarios where you've successfully communicated findings to non-technical stakeholders.
✨Prepare for Policy-Relevant Discussions
Since the role involves facilitating policy-relevant research, stay updated on current issues in health and education. Be prepared to discuss how your work can impact policy decisions and demonstrate your understanding of the broader implications of your data analyses.
✨Emphasise Your Teamwork and Support Skills
You'll be a key point of contact for data users, so highlight your experience in providing technical support and guidance. Share examples of how you've collaborated with others in previous roles, especially in a multidisciplinary environment, to show that you're a team player who can help drive projects forward.
