At a Glance
- Tasks: Lead data-driven insights to enhance clinical trials and improve healthcare outcomes.
- Company: Join Boots, a leader in healthcare innovation and customer experience.
- Benefits: Enjoy generous discounts, retirement savings, and enhanced leave options.
- Other info: Collaborative culture with opportunities for career growth and inclusivity.
- Why this job: Make a real impact in healthcare by transforming data into actionable insights.
- Qualifications: Degree or experience in quantitative fields; strong analytical and communication skills.
The predicted salary is between 49500 - 60500 £ per year.
Join Our Team as a Clinical Trials Analytics Manager – Data Science & Analytics at Boots! Are you passionate about data and its power to transform healthcare? Do you thrive in a collaborative environment where your insights can make a real difference? If so, we want to hear from you!
About Us
At Boots, we’re dedicated to building a brilliant workplace for our people, empowering them to make a difference for our customers and colleagues every day. Our Data Science and Analytics team is at the forefront of this mission, using our world-renowned Advantage Card Data and other first-party sources to create actionable insights that drive value and enhance customer experiences.
The Role
As a Clinical Trials Analytics Manager, you will play a pivotal role in shaping our clinical trials proposition. You’ll work closely with our Life Sciences and Clinical Trials team, leveraging Boots’ extensive patient data to deliver insights that support biopharmaceutical requests and improve trial strategies. Your analytical skills will help identify target audiences, optimise campaign performance, and present compelling findings to stakeholders.
What We’re Looking For
- A relevant degree or experience with strong quantitative elements (e.g., Maths, Physics, Psychology).
- The ability to translate complex business questions into analytical problems and develop scalable solutions.
- Strong verbal and written communication skills to present findings to diverse audiences.
- A proactive approach to career development and a drive to challenge the status quo.
Why Join Us?
- Generous Employee Discounts: Enjoy discounts for you and a family member.
- Retirement Savings Plan: Benefit from up to 12% company contribution.
- Enhanced Leave: Enjoy enhanced maternity, paternity, and adoption leave pay.
Our Values
We pride ourselves on being a place where everyone feels welcome and valued. Our culture is built on collaboration, trust, and continuous learning. We encourage you to bring your authentic self to work and contribute to a positive and inclusive environment.
What’s Next?
We’re open to discussing part-time and job share options, and we’re happy to provide reasonable adjustments during the application process.
Clinical Trials Analytics Manager – Data Science & Analytics in Nottingham employer: Boots UK
Boots UK is an excellent employer for pharmacists seeking to make a meaningful impact in patient care within the vibrant community of Basingstoke. With a strong commitment to career development and a supportive work culture, employees benefit from diverse growth opportunities and access to both in-store and digital tools that enhance their professional skills. Join us to be part of a team that values exceptional service and fosters a collaborative environment.
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We think this is how you could land Clinical Trials Analytics Manager – Data Science & Analytics in Nottingham
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We think you need these skills to ace Clinical Trials Analytics Manager – Data Science & Analytics in Nottingham
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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✨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.
