Stats & Analysis Manager
Witney Site Based
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, nutritional's 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 with the highest level of accuracy in our unmatched sensing technology, we have more than 7 million Freestyle Libre users globally.
This is how you can make a difference at Abbott:
In this role, you will be part of the statistics management team, shaping and leading the organisation’s approach to statistics, analysis and insight generation across Clinical and R&D projects. As a Statistics and Analysis Manager, you will deliver statistics strategy and resourcing for Clinical and R&D while supporting the growth and development of the statistics organisation.
What You’ll Be Doing:
1. Lead and coordinate clinical and statistical support, ensuring quality, consistency and compliance.
2. Allocate and manage statistical resources across projects, balancing priorities.
3. Support new product development through timely analysis, and strong experimental design.
4. Ensure analyses, reports and sampling plans meet internal standards and regulatory requirements.
5. Provide statistical and clinical input to regulatory submissions.
6. Develop, coach and supervise the statistics team, setting direction, goals and development plans.
Qualifications and experience
7. Minimally degree qualified in a technical subject (typically a statistics or maths based subject).
8. Strong expertise in statistics, analysis and performance measurement, gained through leading projects or teams.
9. Strong communication and stakeholder‑management skills, with the ability to influence decision‑making and clearly explain technical concepts to non‑technical audiences and senior leaders.
10. Experience working in a regulated or operationally complex environment (e.g. pharmaceutical, medical device, healthcare, or manufacturing), along with experience using SAS or other statistical analysis software, is advantageous.
What’s in it for you:
11. Competitive compensation
12. Structured developmental support
13. Work with impact at the forefront of Diabetes Care technology