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Advanced Imaging Data Analyst Jobs in New York (NOW HIRING)

... Imaging, and letter generation Communicate with internal departments and external vendors to ... analysis Advanced skill level of Microsoft Products (Access, Excel, Word, PowerPoint, Visio ...

... Imaging, and letter generation Communicate with internal departments and external vendors to ... analysis Advanced skill level of Microsoft Products (Access, Excel, Word, PowerPoint, Visio ...

Data Analyst

Whitestone, NY · On-site

$75K - $90K/yr

Advanced knowledge of Python - especially with respect to the data analysis, statistical modelling, and machine learning stacks * Expertise using SQL to extract and transform data - advanced ...

Strong attention to detail and communication skills Skills Healthcare Data Analysis, SQL, Tableau, Power BI, Excel (Pivot Tables, Advanced Formulas), Data Cleaning, Data Validation, Data Quality, KPI ...

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Advanced Imaging Data Analyst information

What is an advanced imaging data analyst?

Advanced Imaging Data Analysts are professionals who specialize in processing, analyzing, and interpreting complex imaging data—such as MRI, CT, or microscopy images—using advanced software tools and statistical techniques. They work in fields like healthcare, life sciences, and research to extract meaningful insights from imaging datasets. Their responsibilities may include managing large volumes of imaging data, developing image analysis algorithms, and collaborating with researchers or clinicians to support diagnostic or scientific goals.

What are the key skills and qualifications needed to thrive as an advanced imaging data analyst?

To thrive as an Advanced Imaging Data Analyst, you need a strong background in data analysis, image processing, and a relevant degree in fields like computer science, biomedical engineering, or a related discipline. Proficiency with technical tools such as Python, MATLAB, specialized imaging software (e.g., ImageJ, ITK), and experience with machine learning or statistical analysis is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with multidisciplinary teams. These skills are crucial for extracting meaningful insights from imaging data, ensuring accurate results, and supporting scientific or clinical decision-making.

What are the typical challenges faced by an advanced imaging data analyst when working with large datasets, and how can they be addressed?

Advanced Imaging Data Analysts often encounter challenges such as managing extremely large and complex datasets, ensuring data integrity, and processing high volumes of images efficiently. To address these challenges, analysts commonly use specialized software tools and programming languages (like Python or MATLAB) to automate data cleaning and analysis. Collaborating closely with IT specialists and researchers is also essential to maintain robust data storage solutions and to interpret results accurately. Staying up to date with the latest imaging analysis techniques and computational methods can further help mitigate common obstacles in this role.

What is the difference between Advanced Imaging Data Analyst vs Medical Imaging Technician?

AspectAdvanced Imaging Data AnalystMedical Imaging Technician
CredentialsBachelor's degree in related field, certifications in imaging analysisCertification in radiologic technology, associate degree or certificate
Work EnvironmentResearch labs, healthcare facilities, data analysis settingsHospitals, clinics, diagnostic imaging centers
Employer & IndustryMedical research institutions, healthcare providers, biotech companiesHospitals, diagnostic imaging centers, outpatient clinics
Primary FocusAnalyzing imaging data, developing algorithms, supporting researchOperating imaging equipment, capturing diagnostic images

The Advanced Imaging Data Analyst primarily focuses on analyzing imaging data and supporting research efforts, often working in research or healthcare settings. In contrast, the Medical Imaging Technician operates imaging equipment to produce diagnostic images in clinical environments. While both roles require knowledge of imaging technology, the analyst emphasizes data interpretation and analysis, whereas the technician concentrates on image acquisition and patient positioning.

What job categories do people searching Advanced Imaging Data Analyst jobs in New York look for?

The top searched job categories for Advanced Imaging Data Analyst jobs in New York are:

What cities in New York are hiring for Advanced Imaging Data Analyst jobs?

Cities in New York with the most Advanced Imaging Data Analyst job openings:

Infographic showing various Advanced Imaging Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Principal Data Scientist, Medical Imaging

New York, NY

Formation Bio
Biotechnology Research and Development • 51 - 200 employees

$204K - $267K/yr

Full-time

Re-posted 13 days ago


Job description

About the Position

As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

  • Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
  • Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
  • Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
  • Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
  • Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
  • Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
  • Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

  • PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
  • 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
  • Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
  • Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
  • Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
  • Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
  • Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

  • Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
  • Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
  • Knowledge of clinical trial design and experience with imaging core lab operations
  • Experience with federated learning or privacy-preserving techniques for medical imaging
  • Understanding of radiomics and quantitative imaging biomarker development
  • Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $204,500 - $267,000