What are the responsibilities and job description for the Data Scientist position at Beckman Coulter Diagnostics?
Wondering what’s within Beckman Coulter Diagnostics? Take a closer look.
At first glance, you’ll see that for more than 80 years we’ve been dedicated to advancing and optimizing the laboratory to move science and healthcare forward. Join a team where you can be heard, be supported, and always be yourself. We’re building a culture that celebrates backgrounds, experiences, and perspectives of all our associates. Look again and you’ll see we are invested in you, providing the opportunity to build a meaningful career, be creative, and try new things with the support you need to be successful.
Beckman Coulter Diagnostics is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we’re working at the pace of change to improve patient lives with diagnostic tools that address the world’s biggest health challenges.
The data scientist for Beckman Coulter Diagnostics is responsible for the development of data processing tools for assay development; maintenance of existing biological algorithms; integration of data pipeline with Beckman’s LIMS systems. The data scientist will have an advanced knowledge of analyzing complex biological datasets (growth curve analysis; timeseries; signal detection and processing) and advanced statistical concepts. Similarly, the data scientist will have a history of successfully developing tools for assay development especially in a regulated medical device space.
This position is part of the data science located in Sacramento, California and will be a hybrid role. The data scientist will be a part of the development science functional group and report to the data science manager. The responsible for developing tools for processing, analyzing and visualization of complex biological data. If you thrive in a cross functional team and want to work to build a world-class biotechnology organization—read on.
In this role, you will have the opportunity to:
- Develop, maintain tools to collect and process assay development data; visualize microbial growth patterns; detect anomalies/errors in datasets; generate reports per regulatory requirements.
- Build, manage and automate various biological algorithm pipelines.
- Collaborate with software engineers, microbiologists, MLOps and other stakeholders with the goal of building, automating and validating various data processing tools.
- Provide best practices, executing POC for automated data processing operations at scale; design benchmarks, metrics, and monitoring to measure and improve services.
The essential requirements of the job include:
- Master’s degree in a highly quantitative field (Computer Science, Statistics, Mathematics, Bioinformatics, Computational Biology, Microbiology, Software Engineering, Biological/Chemical Engineering)
- 5 years’ experience developing and maintaining Python, SAS and R codes for large scale data processing.
- 4 years demonstrable experience in experimental design and statistical analysis - sample size calculation, hypothesis test/power analysis
- 4 years analyzing and visualizing complex biological datasets; signal detection and processing; timeseries and growth curve analyses.
- 4 years’ experience converting SAS code to python for data analysis and report generation.
It would be a plus if you also possess previous experience in /familiarity with:
- Rapid Antibiotic Susceptibility Testing (Rapid - AST)
- FDA Design controls for medical devices
- Software engineering development best practices
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.
