Internal Applicants Only - Professional Specialist – Data Co-ordinator in Cardiff

Internal Applicants Only - Professional Specialist – Data Co-ordinator in Cardiff

Cardiff Part-Time 33951 - 36636 £ / year (est.) No working from home possible
Cardiff University

At a Glance

  • Tasks: Support the Wales Cancer Biobank by ensuring accurate clinical data records for research.
  • Company: Cardiff University, a leader in medical research and education.
  • Benefits: Enjoy 45 days annual leave, local pension scheme, and flexible working options.
  • Other info: Part-time role with excellent career growth opportunities in a dynamic setting.
  • Why this job: Make a real difference in cancer research while developing your skills in a supportive environment.
  • Qualifications: Confident understanding of clinical oncology data and strong attention to detail.

The predicted salary is between 33951 - 36636 £ per year.

The Wales Cancer Biobank (based within the School of Medicine, Cardiff University) is seeking an enthusiastic and motivated person to support the biobank by ensuring clinical data records are captured accurately for anonymised onward use by researchers. The postholder will be required to have daily contact with data from NHS patients related to cancer diagnosis, treatment and outcome. Confidentiality, accurate data collation and data entry are key to the role. The postholder will be confident in their ability to understand clinical data relating to oncology to ensure WCB data records are robust and fit for purpose. This post will be based on the Heath Park campus.

Benefits:

  • 45 days annual leave pro rata (including bank holidays)
  • Local pension scheme
  • Cycle to work scheme and other travel initiatives
  • Annual increments within the pay scale
  • Living Wage supporter

Contact: For informal enquiries, please contact Dr Lisa Spary – SparyLK@cardiff.ac.uk

Contract: This post is part-time (28 hours per week), fixed term for two years and available immediately. Work pattern to be agreed at appointment.

Salary: £33,951 - £36,636 pro rata, per annum (Grade 5). Appointments to roles at Cardiff University are usually made at bottom of scale unless in exceptional circumstances.

Closing date: Thursday, 9 July 2026

Equality, Diversity and Inclusion: Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We therefore welcome applicants from all sections of the community regardless of sex, ethnicity, disability, sexual orientation, trans identity, relationship status, religion or belief, caring responsibilities, or age. We especially welcome and encourage applications from those from under-represented groups within the University workforce, such as those who identify as LGBT +, ethnic minority or those with disabilities. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements.

Internal Applicants Only - Professional Specialist – Data Co-ordinator in Cardiff employer: Cardiff University

Cardiff University offers an exceptional working environment for the role of Professional Specialist – Data Co-ordinator within the Wales Cancer Biobank. With generous benefits such as 45 days of annual leave, a local pension scheme, and a commitment to equality and diversity, employees are supported in achieving a healthy work-life balance. The vibrant Heath Park campus fosters a culture of collaboration and innovation, providing ample opportunities for professional growth and development in the field of oncology research.

Cardiff University

Contact Details:

Cardiff University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Internal Applicants Only - Professional Specialist – Data Co-ordinator in Cardiff

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Cardiff University.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Cardiff University and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Internal Applicants Only - Professional Specialist – Data Co-ordinator in Cardiff

Data Entry
Data Collation
Confidentiality
Understanding of Clinical Data
Oncology Knowledge
Attention to Detail
Communication Skills

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Cardiff University aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Cardiff University

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Cardiff University.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Cardiff University.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Cardiff University, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Cardiff University will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.