Analytics Engineer
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 System which makes everything possible.
The Analytics Engineer is responsible for delivering end-to-end solutions which streamline workflow and digitally transform the Operations department at Cepheid. There is opportunity to expand scope to support other departments outside of Operations, work with the latest available AI technologies, and learn new skills on the job.
This position reports to the Sr. Manager, Analytics Engineering & Data Science and is part of the IT Business Enablement and will be fully remote.
In this role you will have the opportunity to:
- Communicate complex and controversial analytics and findings to non-technical business stakeholders using clear language, visualization, and other means
- Participate in cross-functional projects within a formalized Business Enablement organization which supports the broader Operations organization (supply chain, manufacturing, quality)
- Develop new applications and business process which precede data analytics.
- Make autonomous decisions about which methodology and technology is used to accomplish higher-level objectives.
The essential requirements of the job include:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Instrumentation, Industrial Engineering, Supply Chain Management, or other relevant field
- 2+ Years job experience in data analytics, data science, biotech industry, supply chain, or manufacturing
- Demonstrated ability to apply operational business practices and coordinate with other closely related areas to improve efficiency
It would be a plus if you also possess previous experience in:
- Full stack development
- Solvers and optimization (LP/MIP)s
At Cepheid we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Cepheid can provide.
The salary range for this role is $80,500 - $114,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.
This job is also eligible for bonus/incentive pay.
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent w
This role requires you to be in the United States. If that means relocating or flying in, it is worth checking fares before you commit to a start date.
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