Postdoctoral Scientist, Artificial Intelligence for Medical Imaging

Job title:

Postdoctoral Scientist, Artificial Intelligence for Medical Imaging

Company

Johnson & Johnson

Job description

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.comJob Function: Career ProgramsJob Sub Function: Post Doc – Data Analytics & Computational SciencesJob Category: Career ProgramAll Job Posting Locations: Cambridge, Massachusetts, United States of AmericaJob 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 atJohnson & Johnson’s Innovative Medicine – Research & Development (JRD) is seeking to recruit a Postdoctoral Scientist, for a fixed term of 2 years, specializing in Artificial Intelligence (AI) based solutions for Neuroimaging Data. The most preferred location for this position is Cambridge, Massachusetts USA or Beerse, Belgium. Remote work options may be considered on a case-by-case basis and if approved by the Company.The AI/Machine Learning and Digital Health team within Johnson & Johnson Innovative Medicine R&D designs cutting-edge insights and solutions employing various data sources across multiple disease areas. We are in search of an exceptional postdoctoral scientist with key responsibilities:

• Design, develop, and implement cutting-edge AI and computer vision solutions to address high-priority scientific challenges in biomedical imaging. Your work will directly contribute to advancements in drug discovery and healthcare.
• Develop and optimize state-of-the-art models to extract actionable insights from complex, unstructured biomedical image data.
• Contribute to the development of scalable core technologies that enable the deployment of advanced computer vision solutions across a variety of imaging modalities, including radiology, and brain imaging.
• Develop and deploy models using containerization technologies such as Docker and Kubernetes to ensure scalable and efficient deployment in production environments.
• Utilize high-performance computing resources and techniques to manage and process large-scale datasets and complex models efficiently.
• Clearly articulate complex technical methods and results to diverse audiences, including scientists, stakeholders, and decision-makers, to facilitate informed decision-making and drive project success.
• Author scientific publication, patents, technical reports.

Required Qualifications:

• A Ph.D. (completed within the past 3 years, or to be completed within the upcoming 6 months) in computer science, artificial intelligence, neuroscience, biomedical science, electrical engineering, biomedical engineering, biostatistics, statistics, mathematics, or related disciplines.

• Demonstrated experience in driving research in computer vision, including the application and development of AI methods and optimization of machine learning models.
• Proficiency in programming languages such as Python, R, C++, or Java, and with AI frameworks including PyTorch, and OpenCV.
• Extensive experience with traditional and modern computer vision techniques, including object detection (YOLO, SSD, Faster R-CNN), image segmentation (U-Net, Mask R-CNN), image classification (VGG, ResNet, Inception, EfficientNet), and feature extraction (SIFT, SURF, ORB).
• Experience with various machine learning techniques (including fully supervised, unsupervised, self-supervised, and weakly supervised learning) and specific architectures (Convolutional Neural Networks (CNNs), Vision Transformers (ViTs), and attention-based networks)
• Strong understanding and experience with machine learning algorithms (such as random forests, SVMs, boosting, and neural networks) along with optimization techniques.
• Proficiency in statistical analysis and data handling, including data augmentation, data cleaning, normalization, and handling large-scale image datasets.
• Ability to effectively communicate complex technical concepts and results to a wide range of audiences, including non-technical stakeholders.
• Highly motivated and capable of driving projects forward independently with minimal daily oversight.
• Experience working with multi-GPU workloads for training and inference
• A deep passion for leveraging data and AI to drive scientific innovation and improve healthcare outcomes.
• Proven scientific excellence as evidenced by publications, patents, and high-level presentations.

Preferred Qualifications:

• Hands-on experience in data AI solutions with focus on neuroimaging data (MRI, CT, PET, fMRI).

• Experience with high-performance computing techniques and resources to manage and process large-scale datasets and complex models efficiently.

• Familiarity with drug discovery, the clinical development process, and/or expertise in specific therapeutic areas.
• Experience with disease biology in areas such as cancer, immunology, neuroscience, cardiovascular, or infectious disease, enabling the development of targeted AI solutions.

Johnson & Johnson is an Equal Opportunity Employer. All 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. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.The anticipated base pay range for this position is $77,000 to $124,200. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).Employees are eligible for the following time off benefits:Vacation – up to 120 hours per calendar yearSick time – up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar yearHoliday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time – up to 40 hours per calendar yearAdditional information can be found through the link below. https://www.careers.jnj.com/employee-benefitsThe compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.#LI-SL
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Expected salary

$77000 – 124200 per year

Location

Cambridge, MA

Job date

Wed, 19 Mar 2025 08:33:41 GMT

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