- Provide statistical support for new product introductions (NPI) and on-market products, particularly manufacturing process quality control.
- Design statistical aspects of studies, write analysis plans/reports, perform quality control of results, compile and read out the findings and conclusions for various projects.
- Develop of new statisticalmethodologyfor measurement and analysis of data.
- Apply advanced statistical methods, which may include simulation models and other statistical programming as needed.
- Assess relevant literature, guidelines as well as existing data, evaluate the quality of data generated and used in reports.
- Make original contributions to research projects and take initiative in professional activities.
- Collaborate with cross-functional teams on study designs, strategies, and analysis approaches consistent with the best statistical practices and regulatory requirements. Provide interpretation of data and support troubleshooting
Education/Experience Requirements:
- MS degree with5+years of industry experience or PhD in Statistics, Applied Mathematics, or related fieldrequired
- Required:at least5years of applied statistical experience
- Extensive experience with at least one major statistical software package such as Stata, SAS or R isrequired.
- Familiarity with manufacturing or quality process control is preferred
- Familiarity with genetics, biochemistry, or molecular biology is a plus.
- Experience with data science techniques including machine learning and associated software is a plus.
- Familiarity with product development and/or project management
- Independent with problem-solving and continuous improvement attitude
