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3D Imaging Lab Jobs in Connecticut (NOW HIRING)

Minimum 3 years in Cardiac Cath Lab / EP Lab License: State Radiographer license Certifications ... imaging technologies. Knowledge of ICE, IVUS, OCT, and 3D mapping systems will be beneficial. We ...

Minimum 3 years in Cardiac Cath Lab / EP Lab License: State Radiographer license Certifications ... imaging technologies. Knowledge of ICE, IVUS, OCT, and 3D mapping systems will be beneficial. We ...

New

Cath Lab Tech - Travel Job

Danbury, CT · On-site

$2.3K - $3.1K/wk

Cath Lab Tech (Cardiovascular Invasive Specialist) Are you ready to advance your career as a Cath ... Operate advanced cardiovascular imaging and mapping systems such as ICE, IVUS, OCT, and 3D mapping ...

Cath Lab Tech - Travel Job

Danbury, CT · On-site

$2.3K - $3.1K/wk

Operate advanced cardiovascular imaging and mapping systems such as ICE, IVUS, OCT, and 3D mapping ... Minimum 3 years of Cath Lab / EP Lab experience in hospital settings supporting diagnostic and ...

Operate advanced cardiovascular imaging and mapping systems such as ICE, IVUS, OCT, and 3D mapping ... Minimum 3 years of Cath Lab / EP Lab experience in hospital settings supporting diagnostic and ...

Travel Cath Lab Technologist

Danbury, CT · On-site

$2.3K - $3.1K/wk

Cath Lab Technologist * Discipline: Allied Health Professional * Start Date: 08/14/2026 * Duration ... Operate advanced cardiovascular imaging and mapping systems such as ICE, IVUS, OCT, and 3D mapping ...

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

... imaging. Responsibilities * Develop and optimize image analysis pipelines for 2D and 3D biomedical ... Help cross lab collaboration through image and algorithm transfer. Requirements * 3+ years of ...

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3D Imaging Lab information

What is the difference between 3D Imaging Lab vs 3D Imaging Technician?

Aspect3D Imaging Lab3D Imaging Technician
CredentialsTypically requires a degree in imaging, radiology, or related fieldOften requires certification in imaging technology or radiologic procedures
Work EnvironmentLaboratory or clinical setting with specialized imaging equipmentHospital, clinic, or imaging center environment
Industry UsageUsed in medical, research, or industrial imaging projectsPerformed in healthcare facilities, assisting with imaging procedures

The 3D Imaging Lab focuses on research, development, and analysis of 3D imaging data in a lab setting, often involving advanced equipment and software. In contrast, the 3D Imaging Technician primarily operates imaging equipment in clinical environments, assisting with patient scans and ensuring image quality. Both roles require specialized knowledge but differ mainly in setting and scope of responsibilities.

What are popular job titles related to 3D Imaging Lab jobs in Connecticut? For 3D Imaging Lab jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching 3D Imaging Lab jobs in Connecticut look for? The top searched job categories for 3D Imaging Lab jobs in Connecticut are:
Infographic showing various 3D Imaging Lab job openings in Connecticut as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% In-person job distribution.

Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Re-posted 20 days ago


Job description

Our client is a global, research-driven pharmaceutical manufacturer focusing on treatment options for diseases and conditions for which there is no satisfactory treatment option to date. The company is looking for a Computational Image Analysis Scientist - 2D/3D Biomedical Imaging to join the team. This is an amazing opportunity to work on cutting edge treatments and make a difference!
Job Title: Computational Image Analysis Scientist - 2D/3D Biomedical Imaging
Pay rate: $39/hr.- $42/hr.
Location: Ridgefield, CT
Job type: 2-year contract
Position Summary
We are seeking a Computational Image Analysis Scientist to develop, optimize, and apply advanced image analysis workflows for 2D and 3D biomedical imaging data. The role focuses on quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets to support biomarker discovery, translational research, and preclinical/clinical studies.
The ideal candidate combines strong programming and machine learning expertise with hands-on experience in digital pathology and a collaborative mindset for working with multidisciplinary scientific teams.
Key Responsibilities
  • Develop, implement, and optimize image analysis pipelines for 2D and 3D biomedical imaging datasets
  • Perform quantitative analysis of histology, IHC, IF, and multiplex imaging (mIF) data
  • Apply classical image processing and machine learning methods for:
    • Image segmentation
    • Feature extraction
    • Cell detection and classification
  • Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data
  • Integrate and work across digital pathology platforms including:
    • HALO AI
    • Visiopharm
    • QuPath
    • CellProfiler
  • Collaborate closely with pathologists, biologists, and data scientists to define analytical endpoints and experimental design
  • Validate image-derived biomarkers and ensure scientific and analytical rigor
  • Document workflows to ensure reproducibility and regulatory-grade traceability
  • Support interpretation, visualization, and presentation of imaging-derived data for scientific reports and publications
  • Enable cross-lab collaboration through transfer of image analysis workflows and algorithms

Required Qualifications
  • Bachelor's degree with 3+ years of experience, or Master's degree in a relevant scientific discipline (or equivalent experience)
  • Strong proficiency in Python and/or R for scientific computing and data analysis
  • Demonstrated experience in machine learning applied to image data
  • Hands-on experience with digital pathology or biomedical image analysis
  • Experience working with H&E, IHC, and multiplex immunofluorescence (mIF) datasets
  • Proven ability to perform cell segmentation, classification, and marker quantification
  • Experience using at least one digital pathology or image analysis platform (e.g., HALO, Visiopharm, QuPath, CellProfiler)
  • Strong problem-solving skills and ability to work independently in a research-driven environment

Preferred Qualifications
  • Experience in tumor immunology, histopathology, or spatial biology
  • Prior experience in biotech, pharmaceutical, or industry research environments
  • Familiarity with advanced spatial or multiplex imaging technologies

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