Job Description
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
Company H1B Sponsorship
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