Data Co-ordinator for Cancer Research – Part-Time in Cardiff

Data Co-ordinator for Cancer Research – Part-Time in Cardiff

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

At a Glance

  • Tasks: Collect and secure clinical data for vital cancer research projects.
  • Company: Cardiff University, a leading institution in innovative cancer research.
  • Benefits: Competitive salary, supportive benefits package, and flexible part-time hours.
  • Other info: Join a supportive team dedicated to advancing cancer research.
  • Why this job: Make a real difference in cancer research while gaining valuable experience.
  • Qualifications: Attention to detail and a passion for data management.

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

Cardiff University is seeking a Part-time Professional Specialist – Data Coordinator for the Wales Cancer Biobank, based at the Heath Park campus.

The role focuses on collecting and securing clinical data for anonymised research use, with daily handling of NHS cancer data and strict confidentiality.

The post is 28 hours per week, fixed-term for two years, with salary (£33,951–£36,636 pro-rata) and a supportive benefits package. Informal enquiries to Dr Lisa Spary.

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Data Co-ordinator for Cancer Research – Part-Time in Cardiff employer: Cardiff University

Cardiff University is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration in the realm of international research. With a strong commitment to employee development and a culture that values diversity and inclusion, staff are encouraged to grow their careers while contributing to impactful global partnerships. Located in the vibrant city of Cardiff, employees benefit from a rich cultural scene and a supportive community, making it an ideal place for meaningful and rewarding employment.

Cardiff University

Contact Details:

Cardiff University Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Co-ordinator for Cancer Research – 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 Co-ordinator for Cancer Research – Part-Time in Cardiff

Communication Skills
Attention to Detail
Problem-Solving Skills
SQL
Python
Data Engineering
ETL/ELT Processes

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.