Job Description
Johnson & Johnson Innovative Medicine is seeking a Postdoctoral Researcher in Computer Vision with a focus on AI/ML applications in Radiology and Oncology. The role involves developing and validating models using real-world imaging datasets to influence cancer therapy development, while collaborating with interdisciplinary teams.
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
Skills
- 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
- 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 of Work
- Personal and Family Time - up to 40 hours per calendar year
Company Overview
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