jobapplier

Intern

Danaher

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.