Postdoctoral Researcher, Computer Vision – AI​/ML Radiology – Oncology

Location: Titusville

This job is with Johnson & Johnson, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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 Med Tech, 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

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Job Function:
Career Programs

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

Job Category:
Career Program

All Job Posting Locations:
New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, 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
Johnson & Johnson Innovative Medicine (JJIM), a Johnson & Johnson company, is recruiting for a Postdoctoral Researcher to be located at our office in either New Brunswick, NJ;
Raritan, NJ;
Titusville, NJ, or Spring House, PA. Remote work options within the US may be considered on a case-by-case basis and if approved by the Company.

This is an exceptional opportunity to apply Radiology AI/ML to oncology research, with the potential to significantly influence the development of novel cancer therapies. The successful candidate will work closely with interdisciplinary teams at Interventional Oncology within JJIM to design, develop, and validate models leveraging unique real-world imaging datasets with comprehensive clinical data enriched with expert annotations.

The ideal candidate will have hands-on experience across the full lifecycle of Radiology AI/ML development with clinically meaningful applications such as disease characterization and outcome prediction. Preferred experience includes applying Radiology AI/ML in clinical settings and exposure to oncology, particularly solid tumors such as lung cancer.

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 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

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.
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…