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- Tasks: Join a team to analyze health data and evaluate health policy impacts.
- Company: Work with the Nuffield Department of Primary Care Health Sciences at Oxford.
- Benefits: Enjoy a competitive salary, potential remote work, and a collaborative research environment.
- Why this job: Make a real impact on public health while developing your data science skills.
- Qualifications: PhD or near completion in epidemiology/statistics; experience with large datasets and statistical tools required.
- Other info: Fixed term contract until July 2027, based in Oxford.
The predicted salary is between 38674 - 43171 £ per year.
Salary in the range £38,674 – £43,171 per annum (pro rata)
Type of contract
The position is full time and fixed term until 31 July 2027.
Location
You will be based in the Nuffield Department of Primary Care Health Sciences, Radcliffe Primary Care Building, Woodstock Road, Oxford, OX2 6GG as your normal place of work but there may be the opportunity for occasional remote working as agreed with your line manager.
Job Overview
Applications are invited for a Health Data Scientist to work with a team working with Professor Sir Aziz Sheikh on a research programme that involves research using large cohort electronic health data with a focus on evaluating the impact of health policy interventions (e.g. introduction of RSV programme, clean air zones, abolition of winter fuel subsidies to pensioners) across the UK, using natural experiment designs.
Responsibilities
The successful applicant will be expected to develop and carry out their own aspect of work, using large cohort electronic health data which contributes significantly to work of the HDRUK funded Driver Program for Inflammation and Immunity. Responsibilities will include:
- Writing complex queries to produce anonymised, harmonised electronic health datasets to use in cohort studies containing health data from multiple sources.
- Analysis of multiple linked datasets to understand and provide expert advice and guidance on the impact of health policy interventions on respiratory health.
Qualifications
You will hold a PhD (or near completion) in epidemiology or statistics involving the use of electronic healthcare record data or a closely related discipline, or equivalent research, industrial or commercial experience. You will have demonstrable experience in writing queries to transfer, transform and interrogate data from large databases and accompanying statistical analysis packages (e.g. R, SQL).
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Health Data Scientist (External Vacancy) employer: Health Data Research UK (HDR UK)
Contact Detail:
Health Data Research UK (HDR UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Data Scientist (External Vacancy)
✨Tip Number 1
Familiarize yourself with the specific health policy interventions mentioned in the job description, such as the RSV programme and clean air zones. Understanding these topics will help you demonstrate your knowledge during interviews and show how your expertise aligns with the team's research focus.
✨Tip Number 2
Brush up on your skills in writing complex queries and using statistical analysis packages like R and SQL. Consider working on sample datasets or projects that mimic the type of work you'll be doing, as this practical experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field of health data science, especially those who have experience with electronic health records. Engaging with experts can provide insights into the role and may even lead to referrals or recommendations for your application.
✨Tip Number 4
Stay updated on recent developments in health data science and policy interventions in the UK. Being knowledgeable about current trends and challenges in the field will not only enhance your application but also prepare you for insightful discussions during interviews.
We think you need these skills to ace Health Data Scientist (External Vacancy)
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Health Data Scientist position. Familiarize yourself with the specific research programs and health policy interventions mentioned in the job description.
Tailor Your CV: Highlight your relevant experience, especially in epidemiology, statistics, and working with electronic healthcare record data. Include specific examples of your work with large datasets and any programming languages or statistical analysis packages you are proficient in, such as R or SQL.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the research goals of the team. Discuss your experience in writing complex queries and analyzing health data, and how you can contribute to the HDRUK funded Driver Program.
Proofread Your Application: Before submitting your application, carefully proofread all documents for clarity, grammar, and spelling errors. A polished application reflects your attention to detail and professionalism, which is crucial for a data-driven role.
How to prepare for a job interview at Health Data Research UK (HDR UK)
✨Showcase Your Technical Skills
Be prepared to discuss your experience with writing complex queries and using statistical analysis packages like R and SQL. Highlight specific projects where you've successfully analyzed large datasets, as this will demonstrate your capability for the role.
✨Understand the Research Context
Familiarize yourself with the research programme led by Professor Sir Aziz Sheikh. Understanding the impact of health policy interventions and being able to discuss relevant examples will show your genuine interest in the position and its objectives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach analyzing linked datasets or evaluating health policy impacts, and be ready to articulate your thought process clearly.
✨Demonstrate Collaboration Skills
Since you'll be working within a team, emphasize your ability to collaborate effectively. Share examples of past teamwork experiences, especially those involving interdisciplinary collaboration, to illustrate your adaptability and communication skills.
