Product Engineer 2, Product Lifecycle

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 SummaryWe 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.ResponsibilitiesCharacterize product health and develop key metrics to drive efficiency and robustness improvements in manufacturingParticipate in advanced analytics for process and subsequent product improvement and customer experienceCollaborate with Development, Process Engineering, Quality, Manufacturing, and other departments as needed to address issues with manufacturing yield and qualityDevelop and implement new processes and tools to provide product manufacturing data to the companyProvide expertise for product manufacture and serve as the point of contact for manufacturing and product health issuesProvide technical input on information system architectureAssist in defining technical requirements for new productsSupport continuous improvement and site transfer project activitiesAll listed tasks and responsibilities are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.Preferred RequirementsExtremely good data analysis skills and a logical approach to problem solvingAbility to understand data in whatever format it’s presented, and effectively use it to communicate a story and drive actionStrong 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 shinyExpert user of Excel, proficient in Word, Outlook, PowerPointFamiliarity with Statistical Process Control and DOE techniquesBig data experience (including HPC, distributed computing, AWS Redshift) is a plusExperience with product development or assay development is a plus.Experience with either of the following technologies is a plus: Microarrays or gene sequencingExperience 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 manufacturingCompetenciesDemonstrated ability to work with ambiguous requirements, adapt quickly, and learnDetail-oriented, proactive, works independently, works well with othersHigh degree of initiative and ownership, as well as a proven history of delivering results while working with several different departments in a fast-paced environmentStrong organizational skillsExcellent verbal and written communication skillsAll listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.Preferred Experience/EducationBS/MS/PhD in Bioinformatics, Computational Biology, Chemical Engineering, Biochemical Engineering, Bioengineering, Biotechnical Engineering, or related fieldOr BS/MS/PhD in Computer Science, Mathematics, Statistics or related field with strong knowledge of biology and chemistryWe are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.