[Remote] Postdoctoral Data Analytics Computational Sciences

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