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Image Processing Jobs in Connecticut (NOW HIRING)

Lancesoft

Scientist II

Ridgefield, CT · On-site

$38 - $40.31/hr

Apply classical image processing and machine learning methods for feature extraction, segmentation, and classification. Including integration of multiple image analysis platforms (e.G., HALO ...

Aequor

... image processing and machine learning methods for feature extraction, segmentation, and classification. Including integration of multiple image analysis platforms (e.g., HALO, Visiopharm, QuPath ...

System One Holdings, LLC

Scientist II

Ridgefield, CT · On-site

$35 - $40.05/hr

Apply classical image processing and machine learning methods for feature extraction, segmentation, and classification. Including integration of multiple image analysis platforms (e.g., HALO ...

Lyle Health

Neurology Physician

Norwich, CT

$321K - $400K/yr

Inpatient services include state of the art Epilepsy Monitoring Unit (EMU) in an ABRET accredited EEG lab staffed with registered EEG technologists, SPECT studies with high quality image processing ...

TalentBurst, Inc.

Scientist II

Ridgefield, CT

Apply classical image processing and machine learning methods for feature extraction, segmentation, and classification. Including integration of multiple image analysis platforms (e.g., HALO ...

TecTammina

Text Analytics

Hartford, CT

At least 3 years of experience as an Analyst involved in text/image processing techniques. Additional Information Job Status: Full Time Eligibility: EAD GC or GC or US Citizen Share the Profiles to ...

TecTammina

Business Data Analyst

Hartford, CT

At least 3 years of experience as an Analyst involved in text/image processing techniques. Additional Information Job Status: Full Time Eligibility: EAD GC or GC or US Citizen Share the Profiles to ...

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How much do image processing jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for image processing in Connecticut is $59.53, according to ZipRecruiter salary data. Most workers in this role earn between $49.38 and $63.56 per hour, depending on experience, location, and employer.

What are the typical daily tasks of an Image Processing specialist?

An Image Processing specialist typically spends their day developing and optimizing algorithms for tasks such as image enhancement, feature extraction, segmentation, and object recognition. You may work closely with a multidisciplinary team that includes software engineers, data scientists, and domain experts to integrate your solutions into larger systems or products. Daily responsibilities often involve coding, testing, validating results, and documenting methodologies, as well as troubleshooting performance issues. Collaboration and frequent feedback sessions are common, as many projects are iterative and benefit from collective expertise. This role offers a dynamic and intellectually stimulating work environment with the potential for impactful innovation.

What is an Image Processing job?

An Image Processing job involves analyzing, enhancing, and manipulating digital images using algorithms and software. Professionals in this field work with techniques such as filtering, feature extraction, and pattern recognition to improve image quality or extract useful information. They often use programming languages like Python and libraries such as OpenCV or MATLAB to develop solutions for applications in medical imaging, computer vision, and automation.

What are the key skills and qualifications needed to thrive in the Image Processing position, and why are they important?

To thrive in Image Processing, you need a solid background in computer vision, signal processing, mathematics, and often a relevant degree in computer science, engineering, or a related field. Proficiency with programming languages such as Python or MATLAB, experience with libraries like OpenCV, and familiarity with machine learning frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills help set professionals apart. These competencies are crucial for developing, implementing, and refining algorithms that extract, analyze, and interpret information from visual data in various industries.

What are the most commonly searched types of Image Processing jobs in Connecticut? The most popular types of Image Processing jobs in Connecticut are:
What are popular job titles related to Image Processing jobs in Connecticut? For Image Processing jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Image Processing jobs in Connecticut look for? The top searched job categories for Image Processing jobs in Connecticut are:
Image Processing jobs near you
Infographic showing various Image Processing job openings in Connecticut as of May 2026, with employment types broken down into 67% Full Time, 17% Part Time, 4% Temporary, 8% Contract, and 4% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $123,830 per year, or $59.5 per hour.
Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

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

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Posted 19 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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