At a Glance
- Tasks: Lead a team in statistical analysis for innovative diabetes care projects.
- Company: Abbott, a global leader in healthcare and diabetes technology.
- Benefits: Competitive pay, career growth, and the chance to make a real impact.
- Other info: Join a dynamic team dedicated to improving lives worldwide.
- Why this job: Shape the future of diabetes care while developing your leadership skills.
- Qualifications: Degree in Statistics or related field; experience in team management.
The predicted salary is between 63000 - 77000 £ per year.
About Abbott
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutrition and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.
About Abbott's Diabetes Care Team
Abbott is the global leader in Diabetes Care with the number one continuous glucose monitor worldwide. We are delivering breakthroughs for people living with diabetes through the highest level of accuracy in our unmatched sensing technology. Today, more than 7 million people globally rely on the FreeStyle Libre system to help manage their diabetes.
This is How You Can Make a Difference at Abbott
As a Statistics & Analysis Manager, you will provide both technical and people leadership across Clinical and R&D projects within Abbott's Diabetes Care business. Leading a team of statisticians and analysts, you will be responsible for shaping statistical strategy, allocating resources across a diverse project portfolio, and ensuring the delivery of high-quality analysis projects that support product development, clinical evidence portfolio, regulatory submissions and business decision-making. This is a key leadership role where you will build capability within the team, develop talent, and foster a high-performance culture while ensuring statistical excellence across the organisation.
What You'll Be Doing
- Lead and coordinate statistical support across Clinical and R&D programmes, ensuring quality, consistency and compliance.
- Manage, coach and develop a team of statisticians and analysts, providing guidance, feedback and career development support.
- Drive team performance through effective goal setting, performance management and development planning.
- Allocate and manage statistical resources across multiple projects, balancing priorities and business needs.
- Support new product development through robust experimental design, data analysis and interpretation.
- Ensure analyses, reports and sampling plans meet internal standards, regulatory requirements and industry best practice.
- Provide statistical and clinical input into regulatory submissions and interactions with regulatory bodies.
- Partner with cross-functional stakeholders to influence strategy and support critical business decisions.
- Identify opportunities for continuous improvement within statistical methodologies, processes and team capability.
- Contribute to recruitment, onboarding and succession planning activities to support the continued growth of the statistics function.
Qualifications & Experience
- Degree qualified in Statistics, Mathematics or a related technical discipline.
- Proven experience leading and managing technical teams, including responsibility for performance management, coaching, mentoring and employee development.
- Demonstrated people leadership experience, with a track record of building, developing and retaining high-performing teams.
- Strong expertise in statistics, analysis and performance measurement gained within a commercial, scientific or technical environment.
- Experience managing multiple priorities and delivering results through a team.
- Excellent communication and stakeholder management skills, with the ability to influence decision-making and communicate complex technical concepts to both technical and non-technical audiences.
- Experience working within a regulated or operationally complex environment, such as medical devices, pharmaceuticals, healthcare or manufacturing, is advantageous.
- Experience using SAS or other statistical analysis software is advantageous.
What's in It for You?
- Competitive compensation package.
- Structured development and career progression opportunities.
- The opportunity to lead and develop a talented statistical team.
- The chance to make a meaningful impact on innovative technologies that improve the lives of millions of people living with diabetes worldwide.
Statistics & Analysis Manager in Witney employer: Abbott
Abbott is an excellent employer, offering a dynamic work culture in Oxford that fosters professional growth and development. With competitive salaries, private healthcare, and a robust pension scheme, employees are well-supported both personally and professionally. The opportunity to engage in meaningful work while receiving comprehensive training ensures that our team members thrive in their roles and contribute to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Statistics & Analysis Manager in Witney
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Statistics & Analysis Manager in Witney
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Abbott, 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 Abbott. 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 Abbott
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Abbott!
✨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.
