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- Tasks: Process and manage health data for groundbreaking research at UK Biobank.
- Company: Join Oxford Population Health, a leader in multi-disciplinary research.
- Benefits: Full-time role with flexible hours, competitive salary, and professional growth.
- Why this job: Make a real difference in health research that impacts lives.
- Qualifications: Masters in a scientific field or relevant experience; R and SQL skills required.
- Other info: Exciting opportunity to work with the largest biomedical database in the world.
The predicted salary is between 30000 - 50000 £ per year.
Oxford Population Health (the Nuffield Department of Population Health) provides an excellent environment for multi-disciplinary research and teaching and for professional and support staff. UK Biobank is a large-scale biomedical database, the largest of its kind in the world, containing in-depth genetic and health information from half a million UK participants. Together we work to answer some of the most important questions about the causes, prevention and treatment of disease – such as cancer, heart disease and stroke which strike in mid-later life.
We are seeking a Data Analyst to help support the UK Biobank study. The main responsibilities involve:
- Processing, managing and curating health-related data from a wide variety of sources into the UK Biobank resource.
- Producing reports on data handling and procedures.
- Recording changes to the databases and datasets in a well-structured manner.
To be considered you must have:
- A Masters in a scientific or numerate subject, or have equivalent relevant work experience.
- Ability to write R code for data import & manipulation.
- A working knowledge of SQL, experience using/processing large or complex datasets.
- A meticulous approach to data handling and documentation.
- A background in academia and/or industry.
This is a full time, fixed term post (part time considered) for 2 years. The closing date for applications is noon on 25 February 2026. You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.
Data Analyst in Oxford employer: UK Biobank
Contact Detail:
UK Biobank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Oxford
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Oxford Population Health on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your R and SQL skills. We want to see you shine with practical examples of how you've handled data in the past. Show us your meticulous side!
✨Tip Number 3
Don’t forget to tailor your cover letter! Make sure it highlights your relevant experience and how it aligns with the responsibilities listed in the job description. We love seeing that personal touch.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to contribute to the UK Biobank study.
We think you need these skills to ace Data Analyst in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your relevant experience, especially in data handling and coding with R and SQL. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Clearly explain how you meet each of the selection criteria mentioned in the job description. We love seeing your personality come through, so don’t be afraid to let us know why you're passionate about this role.
Showcase Your Skills: When detailing your experience, focus on specific projects or tasks where you've processed large datasets or produced reports. We’re keen to see your meticulous approach to data handling, so give us examples that demonstrate your skills!
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application. Plus, it ensures you’re following the correct process, which we really appreciate. We can’t wait to see what you bring to the table!
How to prepare for a job interview at UK Biobank
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you'll be working with at UK Biobank. Brush up on your R coding skills and SQL knowledge, as these will be crucial in your role. Being able to discuss specific examples of how you've handled large datasets in the past will really impress the interviewers.
✨Showcase Your Meticulous Nature
Since attention to detail is key for this position, prepare to discuss how you ensure accuracy in your work. Bring examples of how you've documented changes or managed data in previous roles. This will demonstrate your meticulous approach and commitment to high-quality data handling.
✨Prepare for Technical Questions
Expect technical questions related to data processing and manipulation. Practice explaining your thought process when writing R code or using SQL. You might even want to run through some sample problems beforehand to feel more confident during the interview.
✨Tailor Your Cover Letter
Your cover letter is your chance to shine! Make sure it clearly addresses how you meet each selection criterion. Use specific examples from your academic or industry background that relate directly to the responsibilities of the Data Analyst role. This will show that you’ve done your homework and are genuinely interested in the position.
