The Scientific Researcher will be responsible for daily instrument set-up and preparation, operation, maintenance, and trouble shooting of the analytical Flow Cytometers and the Cell Sorters in the Facs Lab.
In this role, the successful candidate will work cross-functionally to identify, quantify and mitigate design and process risks via failure modes and effects analysis (FMEA) or other risk management processes.
In this role, the selected candidate will develop and test new ideas directed at improving coatings properties to add value through improved performance, ability to meet regulatory requirements, reduced cost or improved efficiency in manufacturing or application.
In this role, you will interface with the Industrial Biosciences Home and Personal Care Sales Force and their customers worldwide and deliver presentations for internal and external customers at scientific and marketing conventions.
The ideal candidate will have experience in developing natural language processing and understanding systems in different contexts such as information retrieval (web search engines), intelligent agents, spoken dialog systems or recommendation systems in many different languages.
The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. Term length would be considered on a case-by-case basis.
In this role, You'll be working with team members and developers on creating innovative solutions through automation, research, and development. You will be researching and implementing innovative classification techniques in the area of security and constructing prototype proof-of-concept classification models.
As a Sr Data Scientist, you will take lead on exploring and creating business value from data science operations in new business data domains, working with our data model architects, machine learning architects, storage architects, product managers, and line of business owners, You will formulate strategies for Exploratory Data Analysis (EDA) and follow-on data science processes and architectures, including statistical analysis, machine learning modelling etc.
As a member of our engineering team you will tackle challenging issues of scale, reliability and security while delivering a delightful, simple user experience to a global user base. If you love writing code, hate tons of meetings, then come talk to us.