In this role, you will independently develop flow cytometry methods for more challenging projects with input from senior scientific staff to support regulated, fit-for-purpose or discovery immunology projects.
In this role, the selected candidate will create detailed documentation outlining design and technical specifications of each solution; ensure quality end-to-end deliverables of developed analytical solutions.
In this role, you will lead or assist in external programs with universities / institutions or other Solvay entities to evaluate emerging technologies and work with Marketing to develop commercial opportunities.
The position requires collaboration within a multi-disciplinary research environment consisting of computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory's missions.
The responsibilities of this position are to perform systems analyses, modeling, safety analyses, design reviews, probabilistic risk assessments, and licensing support evaluations for the following types of reactors and their associated systems and components:
As a member of our Data Science team, you will help build & refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services. Using analytical rigor & statistical methods, you will mine through data to identify opportunities for our company & advance the practice of data science in our organization.
In this role, the selected candidate will be responsible for analyzing, processing, evaluating and documenting large data sets; identifying/developing appropriate machine learning/data mining/text mining techniques to resolve entities and create relationships.
In this role, you will develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
In this role, you will lead projects to capitalize on opportunities to the business in 4 key areas: customer insights, operational excellence, competitive analysis, and advanced modeling. The position will support a cross-functional team and provide in-depth data insights for complex business problems that can be approached with advanced analytics.