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Full Time Image Analysis Jobs in Park Ridge, NJ (NOW HIRING)

Post-Doc Research Associate

Bronx, NY · On-site

$47K - $66K/yr

  • Medical

  • Vision

  • PTO

Position Summary The position is for full-time postdoctoral research in the Gordon Lab. We perform molecular biology, genetic crosses, light microscopy, and quantitative image analyses in C. elegans.

Post-Doc Research Associate

Bronx, NY · On-site

$47K - $66K/yr

  • Medical

  • Vision

  • PTO

Position Summary The position is for full-time postdoctoral research in the Gordon Lab. We perform molecular biology, genetic crosses, light microscopy, and quantitative image analyses in C. elegans.

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AI Powered Social Media Content Specialist - Fulltime Freelance

Manhattan, NY · On-site

$30 - $49/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kling, Seedance, Google Veo, Grok Image, Gemini Omni, Luma AI, and Runway , Nano Banana, GPT Image ... Understanding of social media analytics and performance optimization What Success Looks Like

Supervisor

New York, NY · On-site

  • Medical

  • Retirement

  • PTO

J0626-2125 Employment Type: Full Time Position Description: Under the direction of the Site PSM ... Ability to analyze, interpret, and apply regulatory material and internal controls . Bachelor ...

Data Labeling Associate

New York, NY · On-site

$17.50 - $22.75/hr

Update training and test model databases with new or amended synthetic textual and image data ... Quality Assurance and Analysis: * Conduct manual quality analysis of model results. * Recognize ...

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Showing results 1-20

Full Time Image Analysis information

See Park Ridge, NJ salary details

$26.7K

$83.7K

$107.2K

How much do full time image analysis jobs pay per year?

As of Aug 13, 2026, the average yearly pay for full time image analysis in Park Ridge, NJ is $83,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $97,200.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Image Analysis vs Full Time Medical Imaging Technician?

AspectFull Time Image AnalysisFull Time Medical Imaging Technician
CredentialsTypically requires a degree in imaging, radiology, or related field; certifications varyRequires certification in radiologic technology; often a degree in radiologic sciences
Work EnvironmentPrimarily office or lab settings, analyzing images on computersHospitals, clinics, imaging centers; operating imaging equipment
Employer & IndustryHealthcare, research institutions, tech companiesHospitals, diagnostic labs, outpatient clinics

Full Time Image Analysis involves interpreting medical images using specialized software, often in an office setting. In contrast, Full Time Medical Imaging Technicians operate imaging equipment directly on patients. Both roles require relevant certifications and are integral to healthcare diagnostics, but they differ in daily tasks and work environment.

What cities near Park Ridge, NJ are hiring for Full Time Image Analysis jobs? Cities near Park Ridge, NJ with the most Full Time Image Analysis job openings:
Infographic showing various Full Time Image Analysis job openings in Park Ridge, NJ as of July 2026, with employment types broken down into 81% Full Time, 11% Part Time, and 8% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $83,749 per year, or $40.3 per hour.

Assistant Research Scientist - AI-Linked Cytology (P.I.: Dr. John McDevitt)

New York University

New York, NY • On-site

$55K - $65K/yr

Full-time

Re-posted 6 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities


Job description

Description
The McDevitt Laboratory within the Bioengineering Institute and the Department of Molecular Pathobiology at New York University is seeking a full-time Assistant ResearchScientist to support the development of AI-linked cytology diagnostic technologies.
Background
The McDevitt Lab has led innovations in the creation and validation of lab-on-a-chip diagnostic platforms that integrate microfluidics, cytology, and artificial intelligence. These technologies are designed to enable early disease detection and precision oncology care by digitizing biological information at the single-cell level. We are now expanding our efforts to build large clinical databases essential for AI-based diagnostic model development.
The successful candidate will work closely with an interdisciplinary team of scientists, clinicians, and engineers to support cytology testing, method development, and data generation critical to advancing these next-generation diagnostic tools.
Responsibilities
  • Design and carry out hypothesis-driven experiments to support technology and product development
  • Execute and validate cytology-based assays, focusing on the processing and analysis of clinical samples
  • Assist in building a large, high-quality clinical database for training AI diagnostic models
  • Generate technical documents, including requirements, specifications, test plans, and experimental reports
  • Validate test methods, ensuring robustness, reproducibility, and compliance with established protocols
  • Perform cell staining, imaging, and image-based cytology measurements
  • Analyze cell-based data using software tools (e.g., ImageJ, CellProfiler)
  • Maintain detailed lab records, manage sample inventories, and contribute to data integrity initiatives
  • Work independently and collaboratively within a multidisciplinary research environment

NYU offers excellent benefits. Join our dynamic team at NYU and contribute to the development of groundbreaking technologies that are transforming early disease detection and precision diagnostics.
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $55,000 - $65,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.
Qualifications
Required:
  • B.S. or M.S. degree in a life science or engineering discipline (e.g., Biology, Biochemistry, Bioengineering, Biomedical Engineering, Chemical Engineering)
  • Strong hands-on experience in experimental design and laboratory research
  • Direct experience with cytology techniques, including cell staining, sample preparation, and imaging
  • Familiarity with image analysis software for cell-based data quantification
  • Strong technical writing skills to prepare study protocols, test plans, and reports
  • Excellent organizational and communication skills
  • Ability to work both independently and as part of a collaborative team

Preferred:
  • Experience handling human clinical samples under biosafety guidelines
  • Experience with microfluidics or single-cell analysis platforms
  • Knowledge of AI/machine learning concepts related to biomedical data (a plus, but not required)

Application Instructions
Applicants must submit:
  • A current CV or resume
  • A cover letter highlighting your interest in the role and relevant experience
  • A list of at least three professional references (highly recommended)

To access the application, please click the "Apply Now" button located on the right.

What New York University employees say

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About New York University

Sourced by ZipRecruiter

Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831