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From Home Computational Imaging Jobs (NOW HIRING)

... home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of ... imaging mass spec (e.g., MALDI) * 1+ year of experience with single-cell proteomics and/or ...

... imaging technologies that power hundreds of millions of iPhones, iPads, and Macs around the world. From capturing cinematic video to enabling breakthrough computational photography, we're shaping how ...

Computational Biologist

Chicago, IL · On-site

$130K - $163K/yr

... home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of ... imaging mass spec (e.g., MALDI) * 1+ year of experience with single-cell proteomics and/or ...

... imaging technologies that power hundreds of millions of iPhones, iPads, and Macs around the world. From capturing cinematic video to enabling breakthrough computational photography, we're shaping how ...

You'll design and develop groundbreaking ideas for everything involved in our camera systems, from ... Published research in imaging, computational photography, or computer vision. Experience with ...

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From Home Computational Imaging information

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How much do from home computational imaging jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for from home computational imaging in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are the most commonly searched types of Computational Imaging jobs?

The most popular types of Computational Imaging jobs are:

Infographic showing various From Home Computational Imaging job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

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

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Re-posted 19 days ago


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 data

  • Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data


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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