Practitioner / consultant
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- Location US-NY-Rochester
Candidate will be a lead contributor on new contact lens product & process development activities. This person will perform data analysis and provide statistical based guidance for contact lens R+D product and process feasibility, technology development and technical transfer. Will ensure robust design of products and processes with understanding of process interdependencies are delivered to global manufacturing facilities while fulfilling our customers’ and commercial needs. The candidate will be skilled in reporting and presentation of data and subsequent technical recommendations.
Execute DOEs and provide consultation to others for design of experiments, data analysis, and data modeling and optimization.
Analyze data and provide technical recommendations including process capability and performance analysis
Provide statistical rationale to support sample size justification for sampling plans, validations, etc
Provide leadership for SPC implementation
Provide leadership for process and parameter tolerance setting/budgeting
Standardize and streamline the process of data analysis and report writing for department
Provide training seminars in areas of statistics, quality tools, and data analysis
Degree in Scientific or Engineering Discipline.
Special Skills: Computer Literacy with skills in Microsoft Excel, Word, Project and Powerpoint. Strong Communication, Organization, Report Writing, and Presentation skills a must. Must be able to develop working relationships with various internal core competencies, manage outside suppliers, influence others outside of their immediate control and lead team members.
Specialized Training: Six Sigma Black Belt and DFSS experience preferred. MiniTab/JMP Statistical software preferred, Tableau is a plus. Knowledge of SPC.
10-20 years in Engineering, Process Development, and/or Quality Engineering setting. Hands-on experience and technical expertise in a development environment a must. ISO, FDA, medical device manufacturing experience from ideation through commercialization a plus. Demonstrated use of statistical tools required within a development or manufacturing setting. Experienced with high volume and/or high precision manufacturing a plus.
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