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Mercy

The Throughput Center Technician is responsible for a variety of nursing support services throughout the East community including, but not limited to: - Deployment of nursing staffing resources to ...

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$37.5K

How much do throughput jobs pay per year?

As of Jun 4, 2026, the average yearly pay for throughput in the United States is $36,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $36,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Throughput Analyst role, and why are they important?

To thrive as a Throughput Analyst, you need strong analytical skills, data interpretation abilities, and a solid understanding of operations management, typically supported by a degree in business, engineering, or a related field. Familiarity with data analysis tools (such as Excel, SQL, or specialized ERP/MES systems) and process improvement methodologies (like Lean or Six Sigma) is highly valuable. Effective communication, problem-solving, and adaptability are crucial soft skills for identifying bottlenecks and working collaboratively across departments. These competencies ensure efficient workflow optimization, helping organizations increase productivity and reduce operational costs.

What are the main challenges in optimizing throughput in a production or operations management role?

One of the main challenges in optimizing throughput is identifying and addressing bottlenecks that limit the overall process flow. Professionals in this role often need to balance resource allocation, equipment maintenance, and workforce scheduling to ensure that production targets are met efficiently. Collaboration with cross-functional teams such as quality assurance, logistics, and maintenance is essential to quickly resolve issues and implement process improvements. Staying adaptable and data-driven is key, as changes in demand or unexpected disruptions can impact throughput and require prompt adjustments.

What is throughput in a job context?

Throughput refers to the amount of work or output produced by a system, process, or person within a given period of time. In a business or manufacturing context, it often measures how many products are completed or how much material is processed per hour, day, or another time unit. Higher throughput typically indicates greater efficiency and productivity. Monitoring throughput helps organizations identify bottlenecks and optimize their workflows for better performance.

What is the difference between Throughput vs Process Engineer?

AspectThroughputProcess Engineer
Primary FocusMaximizing production output and efficiencyDesigning, analyzing, and improving manufacturing processes
Required SkillsData analysis, operational management, efficiency optimizationProcess design, problem-solving, technical knowledge
Work EnvironmentManufacturing plants, production linesEngineering offices, manufacturing facilities
Common CertificationsLean, Six Sigma, Operations ManagementPE license, Six Sigma, process engineering certifications

While both roles are integral to manufacturing, Throughput focuses on increasing overall production efficiency, whereas Process Engineers develop and refine processes to achieve those efficiency goals. Understanding these distinctions helps in career planning and job search strategies within the industry.

More about Throughput jobs
What job categories do people searching Throughput jobs look for? The top searched job categories for Throughput jobs are:
Throughput jobs near you
Infographic showing various Throughput job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $36,000 per year, or $17.3 per hour.
Director, High-Throughput Biology

Director, High-Throughput Biology

Eikon Therapeutics

Millbrae, CA • On-site

$213K - $250K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Position

The Director, High-Throughput Biology (HTB) is responsible for the strategy, performance, and evolution of Eikon's high-throughput screening and discovery platforms. This role leads end-to-end high-throughput screening execution across automated and imaging-based platform technologies, ensuring delivery of scalable, reproducible, decision-enabling data that supports portfolio priorities. Operating at the intersection of biology, automation engineering, and computational science, this leader establishes standards for assay robustness, data quality, platform reliability, and technical execution, while building a high-performing organization capable of advancing discovery programs efficiently and at scale.

About You

You are a strategic and technically grounded leader who brings deep expertise in high-throughput screening and platform biology, along with the ability to lead across biology, automation, and computational disciplines. You are comfortable operating at both the strategic and technical level, balancing organizational leadership with hands-on scientific engagement where needed. You bring strong judgment, cross-functional leadership, and a commitment to building scalable, resilient systems that support high-quality discovery execution. You are also experienced in developing teams, strengthening technical depth, and creating shared ownership across critical workflows and capabilities.

What You'll Do

  • Set the vision and operating model for HTB, defining strategy, success metrics, and standards that ensure sustainable, reliable, high-quality screening data delivery across the portfolio.
  • Partner cross-functionally at the assay-to-screening interface to align assay readiness, screening feasibility, platform capabilities, and project priorities.
  • Lead high-throughput screening strategy and execution, partnering with HTB scientists and program leadership to drive prioritization, ensure feasibility, and enable data-driven decisions.
  • Optimize team resourcing and representation to support screening design, execution, analysis, and program engagement across scientists and SRAs.
  • Lead an integrated platform organization that aligns biology, automation, and data analytics into a cohesive screening engine, including workflows, robotics integration, quality control, reporting, and data practices.
  • Build, develop, and retain a high-performing team through clear accountability, coaching, and development of technical and cross-functional capability.
  • Provide hands-on technical leadership by shaping assay strategy, screening design, analytical methods, and data or automation tooling where needed.
  • Establish scalable practices through documentation, playbooks, and shared ownership of critical workflows and code to strengthen continuity and reduce single-point dependency.

Qualifications

  • PhD in Biological Sciences, Computational Sciences, or a related discipline with 10+ years of experience in high-throughput or high-content screening environments.
  • Demonstrated expertise with automated screening platforms, including 384- and/or 1536-well formats.
  • Experience screening compound libraries larger than 100k.
  • Experience advancing drug discovery programs from hit identification through lead optimization.
  • Experience with microscopy-based or imaging-enabled screening platforms.
  • Experience with genetic screens or systems biology approaches.
  • Strong expertise in statistical analysis and large-scale dataset quality control, with proficiency in Python.
  • Experience building or contributing to scalable data processing pipelines.
  • Proficiency with compound databases, LIMS, and enterprise data systems.
  • Proven cross-functional leadership across biology, chemistry, engineering, and data teams.
  • Experience with single-molecule imaging technology is preferred.
  • Experience with novel technologies or assay development for drug discovery is preferred.
  • Strong computational science capability and familiarity with machine learning or artificial intelligence applications in phenotypic or multiparametric screening are preferred.
  • Demonstrated ability to build hybrid biology and computational teams is preferred.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:

  • 401k plan with company matching
  • Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)
  • Mental health and wellness benefits
  • Weeklong summer and winter holiday shutdowns
  • Generous paid time off and holiday policies
  • Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies
  • Enhanced parental leave benefit
  • Daily subsidized lunch program when on-site

The expected salary range for this role is $213,000 to $250,000 depending on skills, competency, and the market demand for your expertise.

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