Product Engineer 2, Product Lifecycle

Product Engineer

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Position Summary

We are looking for driven, motivated Product Engineers to join our growing Life Cycle Management (LCM) team to support the development and manufacture of sequencing and genotyping consumables. The Product Engineer will partner with Manufacturing, Process Engineering, Quality, Supply Chain, Customer Support and R&D to sustain and improve delivered products, ensuring our customers are getting the best consumables on the market.

Position Responsibilities

• Characterize product health and develop key metrics to drive efficiency and robustness improvements in manufacturing
• Drive advanced analytics for process and subsequent product improvement and customer experience
• Collaborate with Development, Process Engineering, Quality, Manufacturing, and other departments as needed to address issues with manufacturing yield and quality
• Develop and implement new processes and tools to provide product manufacturing data to the company
• Provide expertise as the internal SME for product manufacture and serve as the point of contact for manufacturing and product health issues
• Provide technical input on information system architecture
• Assist in defining technical requirements for new products
• Support New Product Introduction and site transfer project activities

Preferred Requirements

• Extremely good data analysis skills and a logical approach to problem solving
• Ability to understand data in whatever format it's presented, and effectively use it to communicate a story and drive action
• Strong programming skills (SQL, R (dplyr, dbplyr, tidyverse) preferred) and statistical knowledge (DOEs, statistical analysis, t-tests, ANOVA, sample size calculation etc.)
• Experienced in visualization tools e.g. Tableau, ggplot2 package and shiny
• Expert user of Excel, proficient in Word, Outlook, PowerPoint
• Familiarity with Statistical Process Control and DOE techniques
• Big data experience (including HPC, distributed computing, AWS Redshift) is a plus
• Experience with New Product Introduction, product development or assay development is a plus
• Experience with either of the following technologies is a plus: Microarrays or gene sequencing
• Experience in one or more of the following fields is a plus: Oligo Manufacturing, Reagent Formulation, MEMS/Semiconductor Fabrication, or other high-tech, high-volume consumables manufacturing

Competencies

• Demonstrated ability to work with ambiguous requirements, adapt quickly, and learn
• Detail-oriented, proactive, works independently, works well with others
• High degree of initiative and ownership, as well as a proven history of delivering results while working with several different departments in a fast-paced environment
• Strong organizational skills
• Excellent verbal and written communication skills
• Able to work in a manufacturing production environment, including cleanroom, with possible exposure to loud noise, etc.
• Candidate will be required to pass color blindness test without any findings. In Illumina, we handle components/ chemicals with different colors, and it is necessary to be able to differentiate and identify the correct components/ chemicals (using visual) during operation.

Preferred Experience/Education

• BS/MS/PhD in Bioinformatics, Computational Biology, Chemical Engineering, Biochemical Engineering, Bioengineering, Biotechnical Engineering, or related field
• Or BS/MS/PhD in Computer Science, Mathematics, Statistics or related field with strong knowledge of biology and chemistry