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High Content Imaging Jobs (NOW HIRING)

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Scientist, Drug Discovery

Palo Alto, CA · On-site

$120 - $180/hr

Design and conduct downstream validation experiments to confirm screening hits and interrogate drug mechanisms of action, utilizing high-content imaging, qPCR, immunocytochemistry, Western blot ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$15 - $18.75/hr

Imaging in areas such as live-cell imaging, including computational and/or automated analyses of high-content imaging data; histology analyses; immunocytochemistry; immunohistochemistry. * Ion ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$15 - $18.75/hr

Imaging in areas such as live-cell imaging, including computational and/or automated analyses of high-content imaging data; histology analyses; immunocytochemistry; immunohistochemistry. * Ion ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$15 - $18.75/hr

Imaging in areas such as live-cell imaging, including computational and/or automated analyses of high-content imaging data; histology analyses; immunocytochemistry; immunohistochemistry. * Ion ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$15 - $18.75/hr

Imaging in areas such as live-cell imaging, including computational and/or automated analyses of high-content imaging data; histology analyses; immunocytochemistry; immunohistochemistry. * Ion ...

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High Content Imaging information

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How much do high content imaging jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for high content imaging in the United States is $38.91, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $45.19 per hour, depending on experience, location, and employer.

What is high content imaging?

High content imaging is an advanced microscopy technique used primarily in biological and pharmaceutical research to capture and analyze large volumes of complex cellular data. It combines high-resolution imaging with automated data analysis to assess multiple cellular features simultaneously, making it a powerful tool for drug discovery, toxicity testing, and cell biology studies. This approach enables researchers to gather quantitative information from thousands of cells in a single experiment, increasing efficiency and data quality. High content imaging often uses fluorescence labeling and sophisticated software to extract meaningful biological insights from images.

What are the key skills and qualifications needed to thrive as a high content imaging specialist?

To thrive as a High Content Imaging Specialist, expertise in cell biology, image analysis, and microscopy, often with an advanced degree in a life science field, is essential. Familiarity with high-throughput imaging platforms (such as PerkinElmer Opera Phenix or Molecular Devices ImageXpress), image analysis software (like CellProfiler or ImageJ), and data management systems is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial for optimizing assays and collaborating with cross-functional teams. These competencies ensure accurate data acquisition, reliable experimental results, and successful integration of imaging technologies in research workflows.

What are some common challenges faced by professionals working in high content imaging, and how can they be addressed?

Professionals in High Content Imaging often encounter challenges such as managing large volumes of data, ensuring image quality and consistency, and troubleshooting complex imaging equipment. These challenges can be addressed by developing strong data management skills, staying current with image analysis software, and collaborating closely with IT and instrument support teams. Additionally, regular training on new technologies and maintaining clear documentation can help ensure smooth workflows and minimize downtime.

What is the difference between High Content Imaging vs Cell Imaging Specialist?

AspectHigh Content ImagingCell Imaging Specialist
Required CredentialsBachelor's or higher in biology, biochemistry, or related fields; experience with microscopy and imaging softwareSimilar credentials; often includes microscopy and cell biology expertise
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsLaboratories focusing on cell analysis, drug discovery, or biomedical research
Industry UsageUsed across biotech, pharma, academic researchPrimarily in research and development settings within biotech and pharma
Common Search/ComparisonHigh Content Imaging vs Cell Imaging Specialist

High Content Imaging involves automated microscopy and image analysis to study cellular responses on a large scale, often used in drug screening. Cell Imaging Specialist focuses on detailed microscopy of cells, emphasizing manual or semi-automated imaging techniques. While both roles require microscopy skills and biological knowledge, High Content Imaging emphasizes high-throughput analysis, whereas Cell Imaging Specialists focus on detailed cellular visualization.

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High Content Imaging jobs near you
Infographic showing various High Content Imaging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $80,932 per year, or $38.9 per hour.

Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

Buck Institute

Novato, CA • On-site

$80 - $100/hr

Other

Medical, Retirement, PTO

Re-posted yesterday

Job description

Postdoctoral Researcher - Age Rejuvenation Screening & Data Analysis

POSITION SUMMARY The Ellerby and Gerencser labs at the Buck Institute seek a Postdoctoral Researcher (PhD required) with expertise in microscopy-based image processing, machine vision, and data operations supporting high-throughput small molecule screening. The lab integrates cell biology, advanced microscopy, robotic automation, and single-cell gene expression techniques to investigate cellular function in health and aging. Current efforts focus on defining youthful and aging-related cellular phenotypes to use in high-throughput screening efforts across multiple labs at the Buck Institute.

PROJECT OVERVIEW

This role involves developing and implementing algorithms, automated workflows, and analytical tools for modern microscopy and high-content imaging. Projects rely heavily on AI-based and classical segmentation methods, object detection, image registration, and object tracking. The lab uses automated microscopes and a fully robotic high-throughput screening system, generating large datasets requiring scalable, automated pipelines.

The candidate will:

  • Translate biological questions into analytical strategies.
  • Build and maintain image-analysis pipelines (deep learning and classical methods).
  • Work with multiple data modalities, including compound‑library databases and phenotypic profiling datasets.
  • Support small‑molecule screens, cell‑painting-based phenotyping, and high-content imaging workflows.
  • Contribute to automation of data acquisition and experimental design.

Training will be provided in experimental technologies, and the candidate will also participate in experiment execution and data interpretation.

QUALIFICATIONS

Essential Requirements

  • PhD in bioinformatics, computational biology, or a related field
  • Experience with biological image processing and automated/pipeline-based image analysis
  • Proficiency in Python and common scientific/imaging libraries
  • Strong data analysis, database, and biostatistics skills
  • Windows and Linux proficiency
  • Demonstrated research portfolio or publication record
  • Excellent written and oral communication skills
  • Strong time‑management skills and the ability to work independently and collaboratively

Desired Skills

  • Experience with data from high-throughput small-molecule screens
  • Experience with laboratory automation and robotic systems
  • Microscopic phenotypic profiling or cell-painting experience
  • Deep-learning tools (CNNs for object detection, instance segmentation, embeddings)
  • GUI development in Python (e.g., Flask, Voila)
  • Pathway analysis or knowledge‑graph-based approaches
  • Programming in R
  • Experience with programmatic prompting of large language models
Compensation & Benefits
  • Salary Range: $80,000-100,000 per year, depending on experience and qualifications
  • Dynamic research environment using state-of-the-art techniques
  • Comprehensive benefits package: health insurance, paid parental leave, childcare assistance, generous vacation/sick leave, and a 401(k) with 5% employer match
  • Highly collaborative scientific and social community
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