Beckman Coulter Life Sciences’ mission is to empower those seeking answers to life’s most important scientific and healthcare questions. With a legacy spanning 80+ years, we have long been a trusted partner to our customers, who are working to transform science and healthcare with the next groundbreaking discovery. As part of our team of more than 2,900 associates across 130 countries, you’ll help drive our vision of accelerating answers—and our commitment to excellence.

Beckman Coulter Life Sciences is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

If you are interested in accelerating the development of lifesaving medicines and working in a fast-paced, innovative environment then read-on!

We are currently seeking a Senior Data Scientist who will be responsible for driving development of computer vision tools for cell characterization in biomanufacturing processes.

In this role, you will be responsible for:

• Development of image processing techniques to extract biological insights from microscope images of cells, including definition of training and inferencing pipelines.

• Robust implementation of the internal image analysis toolbox with code versioning and review through SWE standard practice technologies (git, GitHub, pull requests)

• Monitoring and maintaining inferencing pipelines deployed in the field.

• Preparation of reports to support Quality Assurance and marketing collateral.

• Collaborating with external developers on deployment infrastructure.

The required qualifications for the job include:

• First degree in Computer Science with formal software engineering training

• Postgraduate qualification in Data Science with a significant Artificial Intelligence component

• 2 years’ experience working in computer vision and using standard libraries (Tensorflow and/or Pytorch, opencv, scikit-learn), including putting AI into Production.

• 4 years’ software engineering experience working with Python

• Previous experience working in an interdisciplinary environment with Biomedical or Life Sciences data and colleagues.

  At Beckman Coulter Life Sciences we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a hybrid work arrangement in which you can work part-time at the Company location identified above and part-time remotely from your home. Additional information about this hybrid work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Beckman Coulter Life Sciences can provide.

At Danaher we bring together science, technology and operational capabilities to 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. Our global teams are pioneering what’s next across Life Sciences, Diagnostics, Biotechnology and beyond. For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.