Intern
- Solna, Sweden
- Internship
- Intern/New Grad
- Posted
In this role, you will have the opportunity to: Evaluate the statistical performance of Cepheid acceptance testing and/or bead release methods
About Danaher
- Bring more to life.
- Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
- At Cepheid, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.
- You’ll thrive in a culture of belonging where you and your unique viewpoint matter.
- And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.
- At Cepheid, we are passionate about improving health care through fast, accurate, molecular diagnostic systems and tests.
- As a member of our team, you’ll get to make an immediate, measurable impact on a global scale, within an environment that fosters career growth and development.
- Our mission drives us to develop groundbreaking solutions for the world’s most complex health challenges.
- Together, we bring MORE change to the world.
- Learn about the Danaher Business Syste m which makes everything possible.
- Join our winning team today.
- Together, we’ll accelerate the real-life impact of tomorrow’s science and technology.
- We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
- For more information, visit www.danaher.com .
Responsibilities
- Assess how sample size influences the statistical performance and test output
- Evaluate current documentation related to testing and identify improvement opportunities
- Assist in developing rational for the statistical performance of bead release method
Requirements
- The essential requirements of the job include: Your field of study should preferably be in the field of Statistics You must have a very good knowledge of IT tools (MS Office, Teams, Excel, etc).
- Good knowledge of statistical methods related to test methods Good communication skills.
- Excellent English skills.
