At a Glance
- Tasks: Deliver impactful cancer analysis and translate data into engaging content.
- Company: Join Cancer Research UK, a leader in cancer intelligence and research.
- Benefits: Generous benefits package, career development opportunities, and a focus on wellbeing.
- Other info: Collaborative environment with a mission to beat cancer together.
- Why this job: Make a real difference in cancer research and help shape public understanding.
- Qualifications: Strong analytical skills and experience with statistical tools like R or SAS.
The predicted salary is between 35000 - 45000 £ per year.
You’ll be part of a collaborative, expert team delivering trusted cancer intelligence to colleagues, partners, policymakers and the public. With support from experienced Analysts and Managers, you’ll:
- Deliver meaningful analysis – Work on carefully designed analytical projects, exploring cancer data and research to uncover trends, insights and opportunities that matter.
- Bring data to life – Translate complex statistical findings into compelling, accessible outputs from presentations and reports to blogs, web content and peer reviewed publications.
- Grow your expertise – Build specialist knowledge in areas like cancer survival, screening, or emerging approaches such as AI and interactive tools like R Shiny.
- Be a trusted source of evidence – Respond to enquiries and guide others in the accurate, responsible use of cancer statistics and evidence.
- Create impact beyond the team – Contribute to media facing content, helping shape how cancer stories are told through press releases, infographics and public facing insights.
- Innovate with data – Help explore new tools, techniques and technologies to improve how we collect, analyse and communicate cancer intelligence.
- Empower others through knowledge – Support training and capability‑building across CRUK so more teams can confidently use cancer data.
We’re looking for someone curious, analytical and motivated by impact, someone who wants their work to make a real difference.
Qualifications
- Strong analytical and interpretation skills, ideally within health, science or cancer-related contexts.
- Experience using statistical tools (such as R, STATA or SAS), and the ability to pick up new technologies quickly.
- The ability to communicate complex information clearly to different audiences.
- Excellent attention to detail, with confidence quality‑checking data and written outputs.
- Strong organisational skills, with the ability to manage multiple priorities and work to tight deadlines.
Cancer Intelligence sits at the heart of Cancer Research UK – shaping how we understand cancer today and how we beat it tomorrow. Every insight you generate helps inform decisions, influence strategy, and bring us closer to a world where everybody lives longer, better lives, free from the fear of cancer.
Our organisation values are designed to guide all that we do: Bold – Act with ambition, courage and determination; Credible – Act with rigour and professionalism; Human – Act to have a positive impact on people; Together – Act inclusively and collaboratively. We’re looking for people who can believe in and embody these values and can use them to drive forward progress against our mission to beat cancer.
What will you gain?
We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high‑quality tools. Our policies and processes enable you to improve your work‑life balance, take positive steps in your career and achieve your personal wellbeing goals.
Data and Research Analyst/Senior Data and Research Analyst in Stratford-upon-Avon employer: Cancer Research UK
At Cancer Research UK, we pride ourselves on being an exceptional employer, offering a collaborative and supportive work culture that empowers our employees to make a meaningful impact in the fight against cancer. With a generous benefits package, extensive career development opportunities, and a commitment to employee wellbeing, we foster an environment where your analytical skills can thrive and contribute to life-changing insights. Join us in a role that not only enhances your expertise but also allows you to be part of a mission-driven team dedicated to improving lives through trusted cancer intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Research Analyst/Senior Data and Research Analyst in Stratford-upon-Avon
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We think you need these skills to ace Data and Research Analyst/Senior Data and Research Analyst in Stratford-upon-Avon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Cancer Research UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Cancer Research UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Cancer Research UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.