Data Coordinator – Oncology Biobank (Part‑Time) in Cardiff

Data Coordinator – Oncology Biobank (Part‑Time) in Cardiff

Cardiff Part-Time 30000 - 40000 £ / year (est.) No working from home possible
Cardiff University

At a Glance

  • Tasks: Ensure accurate clinical data records for cancer research and interact with NHS data daily.
  • Company: Cardiff University, a leading institution in cancer research.
  • Benefits: Enjoy 45 days annual leave pro rata, pension schemes, and travel initiatives.
  • Other info: Part-time fixed-term position available immediately with great career development opportunities.
  • Why this job: Make a real difference in cancer research while gaining valuable experience.
  • Qualifications: Enthusiastic and proficient in handling clinical data with a focus on confidentiality.

The predicted salary is between 30000 - 40000 £ per year.

Cardiff University is seeking a part-time Data Co-ordinator for the Wales Cancer Biobank to ensure accurate clinical data records for research. The role involves daily interaction with NHS data related to cancer diagnostics and treatment.

Offering 45 days annual leave pro rata, pension schemes, and several travel initiatives, this fixed-term position is available immediately. Applicants should be enthusiastic and proficient in handling clinical data while maintaining confidentiality.

Data Coordinator – Oncology Biobank (Part‑Time) in Cardiff employer: Cardiff University

Cardiff University is an exceptional employer, offering a supportive work culture that prioritises employee well-being and professional growth. With generous benefits such as 45 days of annual leave pro rata and robust pension schemes, the role of Data Coordinator in the Wales Cancer Biobank provides a unique opportunity to contribute to meaningful research while enjoying a balanced work-life environment in the vibrant city of Cardiff.

Cardiff University

Contact Details:

Cardiff University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Coordinator – Oncology Biobank (Part‑Time) 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 Data Coordinator – Oncology Biobank (Part‑Time) in Cardiff

Communication Skills
Attention to Detail
Problem-Solving Skills
Data Governance
Data Engineering
SQL
Python

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.