Postdoctoral Researcher, Computer Vision - AI/ML Radiology - Oncology at J&J Family of Companie
Titusville, Brevard County, Florida, 32780, USA
Listed on 2026-05-30
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Position Overview
Postdoctoral Researcher, Computer Vision – AI/ML Radiology – Oncology at Johnson Johnson
.Locations:
New Brunswick, NJ;
Raritan, NJ;
Titusville, NJ;
Spring House, PA. Remote work within the U.S. may be considered on a case‑by‑case basis and with company approval.
- 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).
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision‑making.
- Ph.D. in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or related field), completed within the past three years or to be completed within the next six months.
- Proficiency in radiology imaging modalities such as CT, PET, MRI, etc.
- Demonstrated experience driving research and applying computer vision techniques (foundation models, transformers, CNNs, diffusion models, RNNs, GANs, radiomics).
- Extensive experience with traditional computer vision applications (OpenCV, object detection, edge detection, image segmentation).
- Hands‑on experience with medical imaging modalities and formats (DICOM, nrrd, nifti) and collaboration with subject‑matter experts.
- Proficiency with one or more programming languages such as Python or C++.
- Strong publication record and ability to communicate technical work to a wide audience.
- 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 drug discovery and clinical development processes.
- Experience working closely with healthcare professionals.
Salary range: $77,000 – $108,000 annually. Eligible for an annual performance bonus and comprehensive benefits including medical, dental, vision, life insurance, short‑ and long‑term disability, retirement plan (401(k)), and various time‑off options.
Equal Opportunity StatementJohnson 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. The company actively seeks 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 applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact the company’s accommodations resource.
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