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Summer Computer Vision Postdoc Jobs (NOW HIRING)

Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Dallas ... The candidate will primarily work in one or more of the following areas: computer vision, AI-driven ...

The Postdoctoral Researcher will be based out of either the Boston, MA or Portland, ME campus and ... computer vision, mental health, data fusion, computational medicine, predictive analytics, big data ...

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Summer Computer Vision Postdoc information

What are the typical challenges faced by a Summer Computer Vision Postdoc working in a research environment?

As a Summer Computer Vision Postdoc, you may encounter challenges such as adapting quickly to new research topics, handling large and complex datasets, and optimizing algorithms for practical performance. Collaboration with interdisciplinary teams is common, requiring clear communication of technical concepts to colleagues from diverse backgrounds. Additionally, you will likely balance multiple projects within a limited timeframe, making effective time management and prioritization essential for success.

What is a Summer Computer Vision Postdoc?

A Summer Computer Vision Postdoc is a temporary research position, typically lasting a few months over the summer, for individuals who have recently earned a PhD in a relevant field such as computer science or electrical engineering. The role focuses on conducting advanced research in computer vision, which involves enabling computers to interpret and process visual information from the world. Postdocs work alongside faculty and research teams, contributing to projects, publishing papers, and gaining additional experience before pursuing faculty positions or industry roles. These positions often emphasize innovation, collaboration, and the practical application of state-of-the-art computer vision techniques.

What are the key skills and qualifications needed to thrive as a Summer Computer Vision Postdoc, and why are they important?

To thrive as a Summer Computer Vision Postdoc, you need a strong background in computer vision, machine learning, and programming, typically supported by a PhD in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), image processing libraries (like OpenCV), and version control systems (e.g., Git) is essential. Excellent problem-solving abilities, research communication skills, and the ability to collaborate with multidisciplinary teams will make you stand out in this role. These skills ensure you can effectively develop novel algorithms, communicate findings, and contribute to advancing the state of computer vision research.
More about Summer Computer Vision Postdoc jobs
What cities are hiring for Summer Computer Vision Postdoc jobs? Cities with the most Summer Computer Vision Postdoc job openings:
What are the most commonly searched types of Computer Vision Postdoc jobs? The most popular types of Computer Vision Postdoc jobs are:
What states have the most Summer Computer Vision Postdoc jobs? States with the most job openings for Summer Computer Vision Postdoc jobs include:
Infographic showing various Summer Computer Vision Postdoc job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, 32% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Postdoctoral Data Analytics Computational Sciences

Johnson & Johnson

Spring House, PA

$46K - $63K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Johnson & Johnson rating

8.1

Company rating: 8.1 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

32nd of 72 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Post Doc - Data Analytics & Computational Sciences

Job Category:

Career Program

All Job Posting Locations:

Spring House, Pennsylvania, United States of America

Job Description:

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

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Position Overview - Tasks & Responsibilities:

The Computer Vision team at Johnson & Johnson Innovative Medicine is seeking an outstanding postdoctoral researcher for application of advanced AI/ML methods to microscopic images of clinical and preclinical histopathology. The ideal candidate is knowledgeable, self-motivated, and creatively inclined with strong interest and extensive experience in computer vision, deep learning, and medical image analysis. The position will focus on application and refinement of J&J's deep learning algorithm portfolio to quantitate histopathology, in addition to implementation of novel state of the art techniques. These innovative technologies improve our understanding of cellular organization and tissue structure, ultimately enhancing clinical trial efficacy and efficiency. This position offers the opportunity to work within a cross-functional team in a pharmaceutical environment. In addition to gaining technical exposure through the various projects the team is undertaking, you will also gain valuable insights into how robust and scalable algorithms are developed to support clinical trials, under the mentorship of experienced scientists, while contributing to initiatives aimed at improving global health.

Key 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.

Qualifications

  • 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. Publications in conferences such as CVPR, ICLR, ICCV, ICML, MICCAI, ACL, and NEURIPS are preferred but not mandatory.

  • 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.

Preferred Experience

  • 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.

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.

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Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$79,000.00 - $127,650.00

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.

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