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Sr Manager, Industrial Engineering & Process Optimization

Twist Bioscience
Posted a month ago, valid for 2 days
Location

Portland, OR, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The Sr. Manager of Process Optimization & Industrial Engineering at Twist Bioscience in Wilsonville, OR, will focus on improving high-throughput manufacturing operations through various industrial engineering methodologies.
  • Candidates should have 8-12+ years of relevant experience, including 3-5+ years in a supervisory or management role, preferably within ISO 13485 or GxP-regulated environments.
  • Key responsibilities include analyzing manufacturing performance data, developing improvement pipelines, and collaborating with cross-functional teams to optimize processes and staffing models.
  • The position requires a strong analytical foundation, including expertise in OEE, Cpk, and cost-per-unit modeling, as well as hands-on experience with industrial engineering tools.
  • Compensation details are not specified in the job description, but the role offers the opportunity to contribute to significant operational improvements in a dynamic biotechnology environment.

Sr Manager, Process Optimization & Industrial Engineering (onsite in Wilsonville, OR)

Job Description

The Sr. Manager of Industrial Engineering & Process Optimization will drive continuous improvement across high-throughput manufacturing operations by identifying, prioritizing, and executing initiatives that increase line capacity, reduce turnaround time, improve first pass rate, and optimize resource utilization. This role will apply industrial engineering methodologies—including time-motion studies, line balancing, capacity modeling, root cause analysis, and value stream mapping—to diagnose bottlenecks and quality losses across people, process, and equipment, and will develop data-driven business cases to determine whether the right solution is a process redesign, equipment/automation investment, or staffing model change. Reporting into the Engineering organization, this role will partner closely with Manufacturing leadership, Operations, Quality, and Automation Engineering to translate floor-level constraints into scalable, sustainable improvements, balancing near-term throughput gains with long-term operational excellence. The ideal candidate brings a strong analytical foundation (OEE, Cpk, takt time, first pass yield, cost-per-unit modeling), and experience operating in a Quality-regulated environment (including ISO 13485).

Key Responsibilities

  • Analyze manufacturing line performance data to identify capacity constraints, turnaround time bottlenecks, and labor utilization inefficiencies across production processes
  • Investigate first pass rate losses and defect trends; lead root cause analysis efforts in partnership with Quality and Manufacturing to reduce rework, scrap, and reprocessing
  • Develop and prioritize a pipeline of improvement opportunities, evaluating whether process redesign, equipment/automation investment, or staffing changes offer the best return
  • Build business cases and ROI models for proposed improvements, including capital equipment requests, to support engineering and manufacturing leadership decision-making
  • Design and implement process changes using industrial engineering tools (time-motion studies, line balancing, value stream mapping, DOE) and validate improvements through structured pilots
  • Partner with Automation Engineering to scope opportunities where equipment or automation upgrades can address capacity, quality, or labor constraints
  • Collaborate with Manufacturing and Workforce Planning to right-size staffing models and improve labor efficiency without compromising quality or compliance
  • Establish and track key performance indicators (OEE, first pass yield, cycle time, cost-per-unit) to measure the impact of improvement initiatives over time
  • Ensure all process changes are executed in compliance with GxP requirements, working with Quality Assurance on change control and documentation
  • Present improvement roadmaps, project status, and results to senior engineering and manufacturing leadership

What You’ll Bring to the Team

  • Education: A Bachelor’s or Master’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or a related technical field
  • 8–12+ years of progressive experience in industrial engineering, continuous improvement, or manufacturing process optimization
  • 3–5+ years in a supervisory, management, or cross-functional team leadership role
  • Demonstrated hands-on experience working within ISO 13485 or GxP-regulated environments.
  • Strong analytical foundation with expertise in OEE, Cpk, takt time, and cost-per-unit modeling
  • Proven ability to influence cross-functional stakeholders without direct authority over manufacturing execution
  • Hands-on expertise using core industrial engineering tools (time-motion studies, line balancing, capacity modeling, and value stream mapping)

Preferred Qualifications

  • Experience working within high-throughput biomanufacturing, biotechnology, or life science manufacturing environments.
  • Demonstrated track record of leading complex, multi-functional process optimization or automation initiatives from diagnostic to execution.

About Twist Bioscience

Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA.

At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers.

Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law.




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