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Home Based 3D Post Processing Imaging Jobs in Connecticut

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Home Based 3D Post Processing Imaging information

What is a home based 3D post processing imaging specialist?

Home Based 3D Post Processing Imaging jobs involve working remotely to enhance, edit, and finalize 3D medical images, such as CT or MRI scans. Professionals in this field use specialized software to reconstruct, segment, and manipulate 3D images to assist healthcare providers in diagnosis and treatment planning. These roles typically require expertise in medical imaging, image processing software, and a strong understanding of anatomy. Working from home allows for flexibility, but also requires reliable internet and secure handling of sensitive medical data.

What are the key skills and qualifications needed to thrive as a home based 3D post processing imaging specialist?

To thrive as a Home Based 3D Post Processing Imaging Specialist, you need expertise in medical imaging, anatomy, and post-processing techniques, typically supported by a degree in radiologic technology or a related field. Familiarity with 3D imaging software such as OsiriX, Mimics, or Siemens syngo.via, and certifications like ARRT or equivalent, are commonly required. Attention to detail, problem-solving abilities, and effective remote communication are vital soft skills in this role. These skills ensure precise image reconstruction, accurate diagnostics, and seamless collaboration with healthcare teams, which are crucial for patient care.

What are some common challenges faced by home based 3D post processing imaging specialists, and how can they be addressed?

Home-based 3D post-processing imaging professionals often face challenges such as managing large file sizes, maintaining consistent communication with remote teams, and ensuring high-quality results without direct, in-person feedback. To overcome these, it's important to have a reliable, high-speed internet connection, utilize secure file-sharing platforms, and establish regular virtual check-ins with team members or clients. Staying updated with the latest software and hardware advancements can also improve workflow efficiency and output quality.

What is the difference between Home Based 3D Post Processing Imaging vs 3D Medical Imaging Technician?

AspectHome Based 3D Post Processing Imaging3D Medical Imaging Technician
CredentialsTypically requires certification in 3D imaging software, CAD, or related fieldsRequires ARRT certification and radiologic technology credentials
Work EnvironmentPrimarily remote, computer-based work from homeHospital, clinic, or imaging center settings
Industry UsageUsed in entertainment, product design, and visualization industriesUsed in healthcare for diagnostic imaging

Home Based 3D Post Processing Imaging involves remote work focused on refining 3D models and images for various industries, while 3D Medical Imaging Technicians work onsite in medical facilities to produce diagnostic images. The main differences lie in work environment, credentials, and industry applications.

What are popular job titles related to Home Based 3D Post Processing Imaging jobs in Connecticut?

For Home Based 3D Post Processing Imaging jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Home Based 3D Post Processing Imaging jobs in Connecticut look for?

The top searched job categories for Home Based 3D Post Processing Imaging jobs in Connecticut are:

What cities in Connecticut are hiring for Home Based 3D Post Processing Imaging jobs?

Cities in Connecticut with the most Home Based 3D Post Processing Imaging job openings:

Home Based 3D Post Processing Imaging jobs near you
Infographic showing various Home Based 3D Post Processing Imaging job openings in Connecticut as of August 2026, with employment types broken down into 86% Full Time, 5% Part Time, 2% Temporary, 5% Contract, and 2% Nights. Highlights an 97% In-person, and 3% Remote job distribution.

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

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Re-posted 10 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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