Provide consultative support to internal teams and external collaborators, support the development of clinical analytic approaches, draft analytic approaches, evaluate clinical value, and lead the interpretation and positioning of analytic findings and value.
The chosen candidate will be responsible for process development, scale-up, technology transfer, establishing and optimizing commercial manufacturing processes for compounding and filling of solids, soft-chews, non-sterile liquids and sterile inject (aseptic manufacturing) platforms, as well as collaborating and partnering with Manufacturing, Engineering, and Quality organizations.
The Vision Scientist will be a part of the Data Science team and will contribute to a photo analytics project with the goal of developing a fully automated solution for an auto collision damage appraisal. We are seeking a candidate whom will bolster existing capabilities and suggest new exciting changes and improvements.
The Digital Analtyics Team operates at the intersection of programmatic media and big data. For direct-to advertiser solutions, we have built a powerful addressable media network leveraging our proprietary data, on-boarding capabilities and programmatic media platform to optimize for clients direct-response objectives.
Demonstrate expertise in computer science, software development, and the latest technologies to design and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations.
As a Senior Data Scientist, you will work as a member of an Analytics Project Team within the Enterprise Analytics Accelerator (EAA) to generate high-value business insights on transformational, analytical projects.
Participate in projects by providing instrumental characterization and structure function understanding to the teams. Provide thought leadership on projects within and outside of area of responsibility.
In this role, you will performing data analysis and data quality tasks. Establish processes that facilitate with the monitoring and development of work ensuring adherence to the data governance and data quality standards, and assist with developing proofs of concepts or prototypes as required.