Johnson & Johnson · 2 months ago
Postdoctoral Researcher, Computer Vision – AI/ML Radiology – Oncology
United States
Full-time
Remote
New Grad, Entry Level
$77K/yr - $108K/yrJohnson & Johnson is a leader in healthcare innovation, seeking a Postdoctoral Researcher to apply Radiology AI/ML to oncology research. The role involves developing and validating models using real-world imaging datasets to influence the development of novel cancer therapies.
Hospital & Health Care
Responsibilities
Conceive, develop, and implement analytics and AI/Machine learning radiology solutions to high-priority scientific problems
Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams
Shape internal/external collaborations and define the scope of research questions
Extract insight from complex, unstructured radiology image or other imaging modalities data to enhance decision making in clinical development of cancer therapy (e.g., tumor characterization, outcome prediction, etc.)
Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making
Qualification
Required
Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or similar), or closely related field, completed within the past 3 years, or to be completed within the next 6 months
Proficiency in radiology imaging modalities such as CT, PET, MRI, etc
Demonstrated experience driving research in and applying Computer Vision techniques, such as Foundation models, Transformers, CNNs, Diffusion models, RNNs, GANs, and radiomics
Extensive experience with traditional Computer Vision applications, such as OpenCV, object detection, edge detection, image segmentation
Extensive hands-on experience with medical imaging modalities and formats (e.g., DICOM, nrrd, nifti) and collaborating with subject matter experts
Proficiency with one or more programming languages such as Python or C++
Strong publication record and ability to effectively communicate technical work to a wide audience
Preferred
Experience applying Radiology AI/ML in clinical settings
Exposure to oncology, preferably solid tumors such as lung cancer
Hands-on technical data analysis, cloud computing (AWS, Azure), dockerization
Familiarity with and exposure to drug discovery and clinical development processes
Experience working closely with healthcare professionals
Benefits
Medical
Dental
Vision
Life insurance
Short- and long-term disability
Business accident insurance
Group legal insurance
Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation – up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays – up to 13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Company
Johnson & Johnson
At Johnson & Johnson, we believe health is everything.
Founded in 1886
10001+ employees
H1B Sponsorship
Johnson & Johnson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (48)
2024 (56)
2023 (58)
2022 (59)
2021 (44)
2020 (27)
Funding
Current Stage
Late StageLeadership Team
Alex Gorsky
Former Chairman and CEO, Johnson & Johnson
Joaquin Duato
Chairman of the Board and Chief Executive Officer
Recent News
2025-10-07
2025-10-07
Company data provided by crunchbase