ZipRecruiter

Log In

1

Data Scientist Medical Imaging Jobs (NOW HIRING)

Heartflow

Staff Data Scientist

San Francisco, CA · Hybrid

$220K - $280K/yr

AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred ...

Kellton

Imaging Data Scientist

Johnston, IA · On-site

$75/hr

Imaging Data Scientist Location: Johnston, IA 50131 Locals only within 50-mile required onsite T/W/TH each week Duration: 12 months + extensions Max Pay Rate: $75/hr W2 (No Benefits) - DOE No C2C at ...

next page

Showing results 1-20

All JobsData Scientist Medical Imaging Jobs

Data Scientist Medical Imaging information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist medical imaging jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data scientist medical imaging in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a Data Scientist in Medical Imaging typically collaborate with clinicians and radiologists?

Data Scientists in Medical Imaging work closely with clinicians and radiologists to understand clinical workflows, interpret imaging data, and validate AI-driven models. Collaboration often involves attending multidisciplinary meetings, gathering feedback on model performance, and discussing how analytical insights can be integrated into diagnostic processes. Effective communication is key, as data scientists must translate complex technical findings into actionable information for healthcare providers. This team-oriented approach ensures that solutions are both technically robust and clinically relevant.

What are the key skills and qualifications needed to thrive as a Data Scientist in Medical Imaging, and why are they important?

To thrive as a Data Scientist in Medical Imaging, you need expertise in machine learning, image analysis, statistical modeling, and a strong background in computer science or biomedical engineering, often supported by an advanced degree. Familiarity with technical tools like Python, TensorFlow, PyTorch, and experience using medical imaging software and data formats such as DICOM are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex data into actionable insights for clinical teams. These skills are crucial for developing accurate diagnostic tools and improving patient care through advanced medical imaging solutions.

What does a Data Scientist in Medical Imaging do?

A Data Scientist in Medical Imaging applies data analysis, machine learning, and statistical techniques to interpret and enhance medical images such as X-rays, MRIs, and CT scans. They work closely with medical professionals to improve diagnostics, automate image analysis, and develop predictive models for patient outcomes. Their work helps in detecting diseases earlier, increasing the accuracy of diagnoses, and optimizing treatment plans. This role requires knowledge of both medical imaging technologies and advanced data science methods.

What is the difference between Data Scientist Medical Imaging vs Data Analyst Medical Imaging?

AspectData Scientist Medical ImagingData Analyst Medical Imaging
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of machine learningBachelor's in Data Analysis, Statistics, or related; proficiency in data visualization and basic analysis
Work EnvironmentResearch labs, healthcare tech companies, hospitals with focus on AI and MLHospitals, clinics, healthcare providers focusing on data reporting and basic analysis
Employer & Industry UsageTech companies, research institutions, hospitals integrating AI for imagingHealthcare providers, hospitals, clinics analyzing imaging data for reports

While both roles work with medical imaging data, Data Scientist Medical Imaging focuses on developing machine learning models and advanced analytics, whereas Data Analyst Medical Imaging primarily handles data reporting and visualization. The former requires more technical expertise in AI and programming, while the latter emphasizes data interpretation and communication.

Infographic showing various Data Scientist Medical Imaging job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist, Medical Imaging

Formation Bio

Boston, NY

$177K - $232K/yr

Other

Posted 18 days ago

Job description

About the Position

As a Senior 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: $177,500 - $232,000

Apply