New Brunswick or Raritan or Titusville or Spring House Hybrid Employment USD 77,000 - 108,000 Yearly

Johnson & Johnson is hiring a Postdoctoral Researcher

About the Role

At Johnson & Johnson, we believe health is everything. We are seeking a Postdoctoral Researcher to apply Radiology AI/ML to oncology research, directly influencing the development of novel cancer therapies. You will design, develop, and validate models using real-world imaging datasets paired with clinical data and expert annotations, working within Interventional Oncology.

What You'll Do

  • Conceive, develop, and implement analytics and AI/Machine learning radiology solutions for high-priority scientific problems.
  • Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams.
  • Shape internal and external collaborations and define the scope of research questions.
  • Extract insight from complex, unstructured radiology or other imaging modality data to enhance decision-making in the clinical development of cancer therapy.

What We're Looking For

  • A Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or similar) 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.
  • 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, including OpenCV, object detection, edge detection, and 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.

Nice to Have

  • 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.

Technical Stack

  • Languages: Python, C++
  • Tools & Libraries: OpenCV
  • Infrastructure: AWS, Azure, Docker

Team & Environment

You will work closely with interdisciplinary teams at Interventional Oncology within JJIM.

Benefits & Compensation

  • Compensation: $77,000 to $108,000.
  • Medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
  • Retirement plan (pension) and 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.

Work Mode

This is a hybrid position based in New Brunswick, New Jersey, Raritan, New Jersey, Titusville, New Jersey, or Spring House, Pennsylvania.

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.

Required Skills
PythonC++OpenCVAWSAzureDockerComputer VisionMedical ImagingDICOMTransformersCNNsDiffusion modelsFoundation models
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About company
Johnson & Johnson

Johnson & Johnson is a global healthcare company leveraging its expertise in Innovative Medicine and MedTech to prevent, treat, and cure complex diseases through smarter, less invasive, and more personalized solutions.

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Job Details
Department Data and Analytics
Category management
Posted 14 days ago