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Single Molecule Microscopy information

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$37K

$106K

$142.5K

How much do single molecule microscopy jobs pay per year?

As of Jul 23, 2026, the average yearly pay for single molecule microscopy in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is single molecule microscopy?

Single molecule microscopy is an advanced imaging technique that allows scientists to observe and analyze individual molecules in real time, often within living cells. Unlike traditional microscopy, which looks at the collective behavior of many molecules, this method provides detailed insights into molecular interactions, dynamics, and functions at the single-molecule level. It is widely used in biophysics, chemistry, and cell biology to study processes such as protein folding, enzyme activity, and molecular transport. This technique requires highly sensitive equipment and specialized fluorescent labeling to detect and track single molecules with great precision.

What are the key skills and qualifications needed to thrive as a Single Molecule Microscopy Specialist, and why are they important?

To thrive in Single Molecule Microscopy, you need a strong background in physics, chemistry, or biology, typically with an advanced degree and experience in microscopy techniques. Familiarity with advanced fluorescence microscopy systems, data analysis software (such as ImageJ or MATLAB), and often certifications in laboratory safety are important. Attention to detail, problem-solving abilities, and effective communication help in troubleshooting experiments and collaborating with multidisciplinary teams. These skills are essential for generating accurate data, driving scientific discovery, and ensuring the reliability of experimental results.

What is the difference between Single Molecule Microscopy vs Fluorescence Microscopist?

AspectSingle Molecule MicroscopyFluorescence Microscopist
Required CredentialsAdvanced microscopy training, possibly PhD in biology or physicsSimilar; microscopy experience, often with a background in biology or chemistry
Work EnvironmentResearch labs, academic institutions, biotech companiesResearch labs, hospitals, biotech firms
Industry UsageSpecialized research in molecular biology, biophysicsBroad applications in cell biology, medical research

Single Molecule Microscopy and Fluorescence Microscopist roles share similar credentials and work environments, but Single Molecule Microscopy focuses on observing individual molecules, requiring specialized techniques. Fluorescence Microscopists often work with broader fluorescence imaging, making the roles distinct yet related in microscopy expertise.

What are some common challenges faced by single molecule microscopy researchers, and how can they be addressed?

Single molecule microscopy researchers often encounter challenges such as minimizing background noise, achieving high-resolution imaging, and ensuring sample stability during prolonged observations. Addressing these issues typically involves optimizing sample preparation protocols, using advanced imaging techniques like Total Internal Reflection Fluorescence (TIRF) microscopy, and implementing robust data analysis tools. Collaborating closely with physicists, chemists, and bioinformaticians can also help troubleshoot technical hurdles and improve experimental outcomes.
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What cities are hiring for Single Molecule Microscopy jobs? Cities with the most Single Molecule Microscopy job openings:
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Single Molecule Microscopy jobs near you
Infographic showing various Single Molecule Microscopy job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $106,012 per year, or $51 per hour.
Director, High-Throughput Biology

Director, High-Throughput Biology

Eikon Therapeutics

Millbrae, CA • On-site

$213K - $257K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 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 $257,250 depending on skills, competency, and the market demand for your expertise.

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