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:

Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

Innovative Medicine, a Johnson & Johnson company, is recruiting for a postdoc located in the US (Cambridge, MA; Titusville, NJ; Raritan, NJ; La Jolla, CA; or Spring House, PA) Remote positions will also be considered.

About Innovative Medicine

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

We are looking for talented and driven individuals to join our Video Understanding team at Johnson & Johnson. As a postdoctoral researcher, you will have the exciting opportunity to contribute to the development and implementation of advanced AI/ML methods for medical video understanding. Your role will involve applying sophisticated AI techniques to extract valuable insights from different medical video modalities like endoscopy, ultrasound, and echocardiogram. Through the use of these innovative technologies, you will improve our understanding of medical procedures and interventions, ultimately enhancing clinical trial efficacy and efficiency.

The Data Science Analytics & Insights team within Janssen 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 Histopathology Computer Vision.

Key Responsibilities:

• Conceive, develop, and implement video understanding computer vision 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 medical image and videos 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

Qualifications

• A Ph.D. degree in a field related to quantitative analysis, such as physics, mathematics, artificial intelligence, computer science, applied mathematics, electrical engineering, or similar. Equivalent experience will also be considered.
• Strong publication record and ability to effectively communicate technical work to a wide audience (CVPR, ICLR, ICCV, ICML, MICCAI, ACL, NEURIPS, etc..)
• Demonstrated experience driving research in and applying Computer Vision techniques (e.g., Transformers, CNNs, RNNs, GANs)
• Proven expertise in modern video comprehension techniques (e.g. foundational models, transformers)
• Proficiency with one or more programming languages such as Python or C++
• Extensive experience with traditional Computer Vision applications, such as OpenCV, object detection, edge detection, image segmentation
• Experience with machine learning algorithms, including random forest, SVM, boosting, neural networks, etc

Preferred Qualifications:

• Experience with microscopy and histopathology images and medical videos such as endoscopy.
• Experience with multimodal AI
• Familiarity with and exposure to drug discovery and clinical development processes
• Experience working closely with healthcare professionals
• Experience with meaningful disease biology in cancer, immunology, neuroscience, cardiovascular, or infectious disease

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:

$95, 000

Additional Description for Pay Transparency:

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 year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.