Postdoc Data Science, Dermatology Imaging

Johnson & Johnson is recruiting for a Data Science Postdoc, Skin Imaging, located in Cambridge, MA; Spring House, PA; Raritan, NJ; San Diego, CA and remote may be considered with in the United States.

As a Data Science Postdoc, you will have the unique opportunity to contribute to Johnson & Johnson Innovative Medicine (JJIM) and play a vital role in improving the health of people worldwide.

In this role, you will be part of the Data Science Analytics & Insights team within JJIM R&D, focusing on developing innovative solutions using a variety of data sources across multiple different disease areas.

Specifically, we are seeking an exceptional candidate with expertise in Computer Vision or AI in medical imaging.
Key Responsibilities:


* Conceive, develop, and implement novel computer vision algorithms to address high-priority scientific problems in the field of medical imaging.


* Collaborate cross-functionally with external companies and internal scientific, clinical, and data science teams to drive innovation and enhance research capabilities.


* Shape internal and external collaborations by defining the scope of research questions and identifying areas of scientific interest.


* Extract valuable insights from complex and unstructured biomedical image or video data to enhance drug discovery and improve healthcare outcomes, such as disease identification, patient stratification, and disease insights.


* Effectively communicate highly technical methods and results to diverse audiences and partners, enabling informed decision-making.



* PhD degree in a quantitative field like statistics, computer science, artificial intelligence, applied mathematics, electrical engineering, or a related area.

Equivalent experience will also be considered.


* Demonstrated experience in driving research and applying Computer Vision techniques, including Transformers, CNNs, Diffusion, and GANs.


* Extensive hands-on experience with medical imaging modalities such as mobile photos, pathology, retina, radiology, and advanced image processing.

Proven ability to collaborate effectively with subject matter experts.


* Proficiency in one or more programming languages, such as Python and C .


* Extensive experience with traditional Computer Vision applications, including OpenCV, object detection, edge detection, and image segmentation.


* Strong publication record in high-impact journals and the ability to effectively communicate technical work to a wide audience.


* Enthusiastic about using data to inspire scientific advancement.

Preferred:


* Hands-on experience with technical data analysis, cloud computing (AWS, Azure), and dockerization.


* Experience with dermatology images, object character recognition (OCR), and medical imaging anonymization.


* Familiarity with multimodal AI.


* Exposure to drug discovery and clinical development processes.


* Experience working closely with healthcare profession...