Postdoctoral Researcher, Computer Vision – AI/ML Radiology

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Career Programs

Job Sub Function:
Post Doc – Data Analytics & Computational Sciences

Job Category:
Career Program

All Job Posting Locations:
Remote (US), Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
 

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
 

Learn more at https://www.jnj.com/innovative-medicine
 

Johnson & Johnson Innovative Medicine (JJIM), a Johnson & Johnson company, is recruiting for a Postdoctoral Researcher which can be located remotely in the US. 
 

The Data Science Analytics & Insights team within JJIM R&D develops innovative solutions using a variety of data sources across multiple different disease areas.

We are looking for an outstanding postdoc with a focus on Computer Vision (AI/ML Radiology).

Key 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

Required Qualifications


* 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.


* 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 wi...