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Imaging Data Scientist Jobs (NOW HIRING)

Heartflow

Staff Data Scientist

San Francisco, CA · On-site

$220K - $280K/yr

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to ... AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong ...

Covalent Corp.

Data Scientist

Sunnyvale, CA · On-site

$110K - $190K/yr

Imaging, signal processing, or high-dimensional data * Cloud-based data tools, databases, or ETL ... Can move between scientific detail and higher-level system thinking * Communicate effectively with ...

Axle

Data Scientist II

Rockville, MD

Validate and benchmark AI-driven imaging algorithms and tools to ensure their accuracy, robustness ... Ph.D. or Master's degree in Data Science, Computer Science, Biomedical Engineering, Bioinformatics ...

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How much do imaging data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for imaging data scientist 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.

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

To thrive as an Imaging Data Scientist, you need a strong background in computer science, mathematics, and image analysis, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or MATLAB, machine learning frameworks, and image processing tools such as OpenCV or ITK is typically required. Strong analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this role. These skills and qualities are crucial for developing accurate image-based models, collaborating with interdisciplinary teams, and translating complex data into actionable insights.

How does an Imaging Data Scientist typically collaborate with other teams in a research or clinical setting?

Imaging Data Scientists frequently work alongside radiologists, clinicians, and software engineers to develop and refine algorithms for analyzing medical images. Collaboration often involves regular meetings to interpret imaging data needs, share findings, and troubleshoot issues related to data quality or algorithm performance. They may also work closely with data engineers to ensure efficient data storage and retrieval, and with project managers to align on timelines and deliverables. This cross-disciplinary teamwork ensures that imaging solutions are both scientifically robust and practically applicable in clinical workflows.

What is an Imaging Data Scientist?

An Imaging Data Scientist is a professional who specializes in analyzing and interpreting data from various imaging sources, such as medical scans, satellite images, or industrial photographs. They use advanced data analysis, machine learning, and image processing techniques to extract meaningful insights from complex image data. These scientists often collaborate with experts in fields like healthcare, remote sensing, or manufacturing to support decision-making and innovation. Their work can involve tasks such as developing algorithms for image classification, segmentation, or enhancement. The role requires strong skills in programming, statistics, and domain-specific knowledge.

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

AspectImaging Data ScientistMedical Data Scientist
CredentialsTypically requires a degree in data science, computer science, or related fields; familiarity with imaging softwareRequires a degree in data science, biostatistics, or healthcare-related fields; often with knowledge of medical terminologies
Work EnvironmentWorks in healthcare, research institutions, or tech companies focusing on imaging dataWorks in hospitals, healthcare organizations, or biotech firms analyzing medical data
Industry UsageUsed in medical imaging analysis, radiology, and diagnostic researchApplied in clinical research, patient data analysis, and healthcare decision support

Imaging Data Scientists focus on analyzing medical images like MRI, CT scans, and X-rays, utilizing machine learning and image processing techniques. Medical Data Scientists work with broader healthcare data, including electronic health records and clinical data. While both roles require data science skills, Imaging Data Scientists specialize in imaging modalities, making their roles distinct yet overlapping in healthcare analytics.

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What job categories do people searching Imaging Data Scientist jobs look for? The top searched job categories for Imaging Data Scientist jobs are:
Imaging Data Scientist jobs near you

Principal Data Scientist, Medical Imaging

Formation Bio

New York, NY • On-site

$204.50K - $267K/yr

Full-time

Posted 10 days ago

Job description

About Formation Bio
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development.
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others.
You can read more at the following links:
  • Our Vision for AI in Pharma
  • Our Current Drug Portfolio
  • Our Technology & Platform

At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.
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
Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.

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