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POSTDOC DATA SCIENCE, DERMATOLOGY IMAGING

Descripción de la oferta de empleo

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.
Qualifications 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 professionals.
Knowledge of disease biology in cancer, immunology, neuroscience, and cardiovascular research.
Other.
Travel may be required, both nationally and internationally, to support collaborations and attend conferences.
Certifications are a plus and should be specified as preferred rather than required.
Expected Salary is $ Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.
We celebrate the uniqueness of our employees and are committed to inclusion.
We encourage individuals from all backgrounds to apply.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
For more information on how we support the whole health of our employees throughout their wellness, career, and life journey, please visit www.
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 06/11/2024
Fecha de expiración
  • 04/02/2025
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