- Support the team with (advanced) statistical techniques, including (process) modelling, Design of Experiments, data analyses, Bayesian statistics, Multivariate Techniques, analytical method validation (incl. Brazil).
- Provide coaching and team training to increase the level of statistical expertise.
- Participate in troubleshooting of product failures and recommendation of remediation direction.
- Participate in technical efforts and update documents where required for regulatory agencies.
- Review and write technical development and justification reports.
- Represent Science & Technology (S&T) in the world of science/regulatory and governmental agencies and to other companies.
- Working at the #1 Top Employer in the Netherlands (for three consecutive years).
- Career development with an international company where you can grow the career you dream of.
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
- Excellent employment conditions that you can arrange yourself.
- A budget that you can use to follow non-work-related training and courses that contribute to your personal development.
- A sports allowance for work on your fitness.
- Personal financial planning advice to map out your current financial situation.
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Principal Scientist Data Analytics and Statistics - Weesp, Nederland - Abbott
Beschrijving
Abbott Job Opportunity: Principal Scientist Data Analytics and Statistics
Abbott is a global healthcare leader, creating breakthrough science to improve people's health. We're always looking towards the future, anticipating changes in medical science and technology. We are currently seeking a Principal Scientist in Data Analytics and Statistics to join our Global Science & Technology Department.
Core Job Responsibilities:
Key Competences:
Proficient in: SAS, R, Python, Cloud computing
Communication skills: Strong ability to translate scientific questions and business requirements into a statistical framework
Reporting skills: Strong in presentation and reports
Minimum Education/Experience:
MSc./PhD in Applied Mathematics/Statistics, or a related field. At least 5 years of experience in an industrial/R&D environment working on non-clinical, CMC statistics (Food, Pharma, engineering).
Working at Abbott: At Abbott, you can do work that matters, grow and learn, care for yourself and your family, be your true self, and live a full life. You will have access to:
