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High Content Imaging Jobs (NOW HIRING)

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Computational Biologist

Palo Alto, CA · On-site

... high-content imaging data. * Analyze data from drug perturbation screens to identify transcriptomic signatures, compound-gene associations, and patterns of drug response across disease-relevant cell ...

Ohio State University

$46K - $63K/yr

The candidate will perform electrophysiology and molecular biology experiments, analyze mitochondrial function, conduct live-cell and high-content imaging studies, perform mouse behavioral assays ...

Medra

Research Associate - Protein

San Francisco, CA · On-site

Familiarity with imaging-based cell assays (e.g., high-content imaging, fluorescence microscopy) * Experience with cell-free protein expression or specialized enzyme workflows * Comfort working with ...

Integrated Resources INC

Automation technician

Groton, CT · On-site

$41K/yr

... high content imaging and cell & protein reagent generation laboratories. For the first 3-6 months: develop understanding of the laboratory equipment used in PPG and workflows in the primary ...

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High Content Imaging information

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$15

$38

$77

How much do high content imaging jobs pay per hour?

As of Jul 21, 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 kind of jobs in media bring in $150,000 a year?

High Content Imaging roles in media or related fields typically do not reach $150,000 annually; however, senior positions such as media executives, creative directors, or specialized technical roles like imaging specialists with advanced skills and experience can earn this level or more. These roles often require extensive expertise, leadership, and sometimes advanced certifications or degrees.

What are the key skills and qualifications needed to thrive as a High Content Imaging Specialist, and why are they important?

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 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 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.

What are some careers that use microscopes?

Careers that use microscopes include high content imaging specialists, microbiologists, pathologists, and laboratory technicians. These roles often require knowledge of microscopy techniques, attention to detail, and proficiency with imaging equipment to analyze biological or material samples accurately.

What jobs in the US pay 300,000 a year?

High Content Imaging specialists typically do not earn $300,000 annually; such salaries are more common in executive, medical, or specialized technical roles. Positions like senior scientists, medical directors, or biotech executives in related fields may reach or exceed this level with experience and advanced skills. Salary levels depend on industry, location, and level of responsibility.

What imaging job pays the most?

High Content Imaging specialists or roles involving advanced microscopy and image analysis tend to have higher salaries within imaging jobs, especially when combined with skills in data analysis, software proficiency, and scientific research. Senior positions, such as imaging managers or specialists with extensive experience and certifications, generally earn the highest pay in this field.
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High Content Imaging jobs near you

Data Scientist/AI Lead

Program Management Solutions LLC

Rockville, MD • On-site

Full-time

Posted 3 days ago

New

Job description

Program Management Solutions is looking for a Data Scientist/AI Lead to join our growing team. This is an on-site position that's located in Rockville, MD.
Requirements

  • Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Biomedical Informatics, Computational Biology, Engineering, or related field.
  • Minimum 10+ years of experience supporting data science, artificial intelligence, machine learning, informatics, analytics, data engineering, or scientific computing initiatives.
  • Minimum 5+ years of experience leading technical teams supporting data-intensive, AIenabled, or scientific computing environments.
  • Experience designing and implementing data architectures, ingestion pipelines, metadata management, and data governance frameworks.
  • Experience supporting FAIR data principles, data harmonization, interoperability, and scientific data lifecycle management.
  • Experience developing, integrating, or supporting AI/ML-enabled analytics, predictive modeling, automation, or advanced computational workflows.
  • Experience designing, deploying, or supporting Generative AI (GenAI) solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent assistants, AI agents, prompt engineering, and enterprise knowledge management solutions.
  • Experience supporting responsible AI practices, including model documentation, transparency, explainability, performance monitoring, and bias identification or mitigation.
  • Experience supporting cloud, high-performance computing, GPU-enabled, or large-scale analytics platforms.
  • Experience implementing Machine Learning Operations (MLOps) practices including model lifecycle management, model registries, feature engineering pipelines, automated retraining, version control, deployment automation, and continuous model monitoring.
  • Experience supporting vector databases, semantic search, knowledge graphs, embeddings, enterprise search, and AI-enabled knowledge management platforms.
  • Experience briefing technical and executive stakeholders.


Preferences

  • Master’s degree or higher in a related field.
  • Experience supporting NIH, HHS, or biomedical research organizations.
  • Experience with bioinformatics, cheminformatics, knowledge graphs, ontology management, and translational science data environments.
  • Experience supporting AI-enabled analytics, machine learning operations, advanced scientific computing, high-content imaging, or large-scale biomedical data environments.
  • Experience with human-in-the-loop AI workflows, image segmentation, model validation, or AI-enabled scientific platform integration.
  • Experience supporting enterprise Generative AI platforms using Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI APIs, Hugging Face, LangChain, Semantic Kernel, or equivalent technologies.
  • Experience supporting AI governance, AI security, prompt management, model evaluation, AI red teaming, or enterprise AI adoption initiatives.
  • Experience integrating GenAI capabilities into scientific research, biomedical informatics, or decision-support environments.