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Imaging Data Scientist Jobs (NOW HIRING)

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 ...

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 ...

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Imaging Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do imaging data scientist jobs pay per year?

As of Jul 12, 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.

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.

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.
More about Imaging Data Scientist jobs
What cities are hiring for Imaging Data Scientist jobs? Cities with the most Imaging Data Scientist job openings:
What states have the most Imaging Data Scientist jobs? States with the most job openings for Imaging Data Scientist jobs include:
Infographic showing various Imaging Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Principal Scientist, Imaging Analytics

Principal Scientist, Imaging Analytics

Johnson & Johnson

Spring House, PA

Full-time

Retirement, PTO

Posted 13 days ago


Johnson & Johnson rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

30th of 74 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are seeking a Principal Scientist, Imaging Analytics to join Interventional Oncology (INTO) and lead the scientific application of medical imaging Artificial Intelligence across our early-phase oncology portfolio. In this role, you will transform routinely collected oncology trial scans (CT, MRI, PET) into earlier, evidence-based clinical-development decisions. You will advance foundational imaging-AI capabilities, develop novel quantitative imaging metrics, and deliver insights that enhance response assessment, dose optimization, and go/no-go decisions.

This is a high-impact, high-visibility role for a scientist who is passionate about translating cutting-edge imaging AI from research into real-world clinical impact. You will serve as a scientific bridge across data science, clinical development, and external partners.

This position can be based in New Brunswick/Raritan, NJ; Spring House/Horsham, PA; or Boston, MA.

Key Responsibilities

  • Lead end-to-end AI applications on trial imaging data (CT, MRI, PET) for quantitative imaging measures and AI-derived endpoints.

  • Collaborate internally and externally to drive scientific innovation in foundational imaging AI that are relevant to oncology drug development - including automated segmentation, radiomics, and multimodal predictive modeling through hands-on research.

  • Translate imaging-derived evidence into actionable insights by converting complex quantitative findings into clear scientific narratives and engaging cross-functional stakeholders

  • Provide scientific leadership to external partnerships - including imaging AI vendors, CROs, biomarker companies, academic centers, and imaging OEMs - to accelerate model development, validation, and deployment.

  • Publish and present scientific innovation at top scientific and clinical conferences (e.g., MICCAI, AACR, RSNA, etc.)

Required Knowledge, Skills and Abilities:

  • Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related quantitative field.

  • 3+ years of post-doctoral or industry experience developing AI/ML for medical imaging (CT, MRI, PET) in a clinical setting.

  • Hands-on expertise across the medical imaging AI stack: deep learning (segmentation, detection, classification, registration), radiomics, and multimodal predictive modeling.

  • Proficiency in Python and PyTorch, with practical experience in medical-imaging libraries such as MONAI, SimpleITK, ITK, PyRadiomics, nnU-Net, 3D Slicer, and OpenCV.

  • Experience with cloud ML infrastructure and MLOps practices for scalable training and inference on imaging data.

  • Extensive experience with the full imaging data workflow: DICOM I/O, visualization, registration, harmonization, annotation, and segmentation of 3D medical images.

  • Strong peer-reviewed publication record and demonstrated ability to communicate complex scientific concepts to both technical and cross-functional audiences.

Preferred:

  • Experience in analyzing solid-tumor imaging, particularly lung and head & neck (H&N).

  • Track record of developing and applying AI/ML to oncology imaging and within oncology clinical trials.

  • Familiarity with standard oncology endpoints (e.g., RECIST 1.1, iRECIST, PERCIST).

  • Experience building and scaling clinical or imaging AI platforms end-to-end, including data ingestion, harmonization, model inference, visualization, and continuous monitoring.

  • Experience in sourcing, structuring, and managing external partnerships with imaging-AI vendors, CROs / imaging core labs, biomarker companies, and academic centers.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

#LI-GR1

#LI-Hybrid

#JRDDS
#JNJDataScience
#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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