Note: The job is a remote job and is open to candidates in USA. Johnson & Johnson is a leader in healthcare innovation, dedicated to developing treatments and cures. The role involves applying advanced AI/ML methods to microscopic images of clinical and preclinical histopathology, focusing on enhancing clinical trial efficacy and efficiency through innovative technologies.
Responsibilities
- Conceive, design, develop, implement and validate innovative computer vision solutions addressing high-priority challenges in microscopy
- Collaborate closely both with internal and external cross-functional teams of scientists, engineers, and clinicians, to advance algorithm and product development to improve project outcomes
- Shape internal and external collaborations and define scope of research questions
- Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders to support informed decision-making
- Extract insight from complex, unstructured microscopy images to improve drug discovery and healthcare (e.g., disease identification, patient stratification, disease insights, therapy response)
- Prepare and draft manuscripts outlining development methodologies to contribute to the scientific community
Skills
- Ph.D. degree completed with in 2-3yrs, or Ph.D. candidate with a confirmed defense date within 3 - 4 months. in a field related to deep learning, such as computer science, physics, mathematics, applied mathematics, computer science/artificial intelligence, or related engineering disciplines. Equivalent experience will also be considered
- Strong publication record with the ability to effectively communicate technical work to a broad audience
- Demonstrated deep experience researching and applying state-of-the-art computer vision techniques (e.g., Transformers, CNNs, RNNs, GANs, foundation models /self-supervision, panoptic segmentation, weakly supervised learning, few/zero-shot learning, etc)
- Demonstrated experience in classical machine learning methods such as random forests, SVMs, etc
- Extensive experience applying, extending, and optimizing traditional image processing mathematics and methods (edge detection, thresholding, color transformations, morphological processing, etc)
- Experience with microscopy images such as histopathology, confocal, or fluorescence microscopy
- Strong proficiency in Python and a related deep learning library (tensorflow, pytorch)
- Fluent in English
- Strong communication & interpersonal skills
- Ability to work in a matrix organization and participate effectively both independently and as part of multiple teams
- Capacity to work under strict timelines
- Experience with multimodal AI
- Familiarity with drug discovery and clinical development processes
- Experience working closely with healthcare professionals
- Experience with meaningful disease biology in oncology, immunology, neuroscience, cardiovascular, or infectious disease
Benefits
- Medical
- Dental
- Vision
- Life insurance
- Short- and long-term disability
- Business accident insurance
- Group legal insurance
- Company’s consolidated retirement plan (pension)
- Savings plan (401(k))
- 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
Company Overview
At Johnson & Johnson, we believe health is everything. It was founded in 1886, and is headquartered in New Brunswick, NJ, US, with a workforce of 10001+ employees. Its website is http://www.jnj.com.Company H1B Sponsorship
Johnson & Johnson has a track record of offering H1B sponsorships, with 48 in 2025, 56 in 2024, 58 in 2023, 59 in 2022, 44 in 2021, 27 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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