Johnson & Johnson is looking to develop innovative solutions using data analytics and computational sciences to improve healthcare and develop treatments for complex diseases.
Requirements
- Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, applied mathematics, electrical engineering, or similar), or closely related field
- 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++
- Hands-on technical data analysis, cloud computing (AWS, Azure), dockerization
- Experience with radiology imaging (e.g., MRI, CT, PET, Xray, etc.)
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 improve drug discovery and healthcare (e.g., disease identification, patient stratification, disease insights)
- Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making
Other
- Ph.D. degree completed within the past 3 years, or to be completed within the next 6 months
- Strong publication record and ability to effectively communicate technical work to a wide audience
- Experience working closely with healthcare professionals
- Familiarity with and exposure to drug discovery and clinical development processes
- Equal Opportunity Employer, 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
