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Research Scientist Medical Imaging Jobs (NOW HIRING)

NYULMC

Assistant Research Scientist

New York, NY · On-site

The Assistant Research Scientist will participate in research activities related to advanced ... with medical imaging or MRI preferred Strong analytical and communication skills Qualified ...

University of Utah

Research Scientists (PhD)

Campus, IL

$99K - $135K/yr

Success in this role requires expertise in biomechanical testing, medical imaging, 3D modeling and fabrication, programming, and statistical analysis. The Research Scientist develops and maintains ...

University of Utah

Research Scientists (PhD)

Campus, IL

$99K - $135K/yr

Success in this role requires expertise in biomechanical testing, medical imaging, 3D modeling and fabrication, programming, and statistical analysis. The Research Scientist develops and maintains ...

University of Utah

Research Scientists (PhD)

Campus, IL

$99K - $135K/yr

Success in this role requires expertise in biomechanical testing, medical imaging, 3D modeling and fabrication, programming, and statistical analysis. The Research Scientist develops and maintains ...

Icon plc

Research Scientist

Cambridge, MA · On-site

Experience with multispectral or fluorescence imaging platforms such as Akoya PhenoImager/Vectra ... Health and wellbeing programmes including medical, dental, and vision coverage where applicable

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How much do research scientist medical imaging jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for research scientist medical imaging in the United States is $43.97, according to ZipRecruiter salary data. Most workers in this role earn between $36.30 and $53.37 per hour, depending on experience, location, and employer.

What does a research scientist medical imaging do?

A typical day for a Research Scientist Medical Imaging involves designing and conducting experiments, analyzing large medical image datasets, and developing or testing image processing algorithms. You may also collaborate closely with clinical partners, radiologists, and other scientists to interpret findings and refine methodologies. Daily tasks often include attending research meetings, documenting experimental results, and preparing materials for publication or presentations. The work is typically fast-paced and requires adaptability to new technologies and evolving research goals, making teamwork and ongoing learning integral to the role.

What are the key skills and qualifications needed to thrive as a research scientist medical imaging?

To thrive as a Research Scientist Medical Imaging, you need a deep understanding of medical imaging modalities, image analysis, and data interpretation, typically supported by a Ph.D. or M.S. in biomedical engineering, computer science, or a related field. Expertise in programming languages such as Python or MATLAB, experience with machine learning frameworks, and familiarity with platforms like DICOM and image processing software are important. Strong analytical thinking, problem-solving, and the ability to communicate complex findings clearly are vital soft skills for this role. These competencies enable the development of innovative imaging solutions, accurate research results, and effective collaboration within multidisciplinary teams.

What is a research scientist medical imaging?

A Research Scientist in Medical Imaging develops and applies advanced imaging technologies to improve diagnostics, treatment planning, and disease monitoring. They conduct research on imaging modalities like MRI, CT, ultrasound, and PET, often working with machine learning and computer vision techniques. Their work involves algorithm development, data analysis, and collaboration with medical professionals to enhance imaging accuracy and efficiency. These scientists typically work in healthcare institutions, research labs, or the medical device industry, contributing to innovations in medical imaging.

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What job categories do people searching Research Scientist Medical Imaging jobs look for? The top searched job categories for Research Scientist Medical Imaging jobs are:
Research Scientist Medical Imaging jobs near you
Infographic showing various Research Scientist Medical Imaging job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $91,466 per year, or $44 per hour.

Principal Data Scientist, Medical Imaging

Formation Bio

New York, NY • On-site

$204K - $267K/yr

Full-time

Re-posted 23 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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