1

Medical Ai Postdoc Jobs (NOW HIRING)

... AI)/deep learning technologies, mathematical biomechanical modeling, inverse problems, and ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

... AI)/deep learning technologies, mathematical biomechanical modeling, inverse problems, and ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

next page

Showing results 1-20

Medical Ai Postdoc information

What is the difference between Medical Ai Postdoc vs Medical Data Scientist?

AspectMedical Ai PostdocMedical Data Scientist
Required CredentialsPhD in AI, Machine Learning, or related field; research experienceMaster's or PhD in Data Science, Statistics, or related field; programming skills
Work EnvironmentAcademic or research institutions, labsHospitals, healthcare companies, biotech firms
Employer & Industry UsageResearch projects, academic grantsClinical data analysis, healthcare product development
Common Search & Comparison IntentResearch roles, academic positionsIndustry roles, applied data analysis

The Medical Ai Postdoc typically focuses on academic research, developing new AI methods for healthcare, often within universities or research labs. In contrast, a Medical Data Scientist applies data analysis techniques directly to clinical data in healthcare settings, focusing on practical applications and product development. Both roles require strong technical skills but differ mainly in their work environment and end goals.

What is a Medical AI Postdoc?

A Medical AI Postdoc is a postdoctoral researcher who specializes in applying artificial intelligence (AI) techniques to healthcare and medical research. Their work often involves developing machine learning models, analyzing medical data, and collaborating with clinicians to improve diagnostics, treatment planning, or patient outcomes. Medical AI Postdocs typically hold a PhD in computer science, biomedical engineering, data science, or a related field, and have expertise in both AI methodologies and medical applications. The position is usually a temporary academic or research role designed to further deepen expertise and contribute to scientific advancements in medical AI.

What are the typical collaborative opportunities for a Medical AI Postdoc within academic and clinical research settings?

Medical AI Postdocs often work in interdisciplinary teams, collaborating closely with clinicians, data scientists, and other researchers to develop and validate AI-driven healthcare solutions. This role typically involves attending regular lab meetings, participating in joint research projects, and contributing to multi-institutional studies. Effective communication and teamwork are essential, as you may be responsible for translating complex AI concepts to non-technical stakeholders and integrating clinical feedback into model development. These collaborations not only enhance research impact but also provide valuable networking and professional development opportunities.

What are the key skills and qualifications needed to thrive as a Medical AI Postdoc, and why are they important?

To thrive as a Medical AI Postdoc, you need a strong background in machine learning, biomedical data analysis, and programming, typically demonstrated by a PhD in a relevant field such as computer science, biomedical engineering, or computational biology. Familiarity with tools like Python, TensorFlow, PyTorch, and experience working with medical datasets or electronic health records is highly valuable. Exceptional problem-solving skills, scientific communication, and interdisciplinary collaboration set standout candidates apart. These competencies are crucial for advancing medical AI research, translating findings into clinical applications, and fostering innovation within a multidisciplinary environment.
Infographic showing various Medical Ai Postdoc job openings in the United States as of June 2026, with employment types broken down into 100% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.
Postdoctoral Scientist, Amazon Robotics Research and AI Development

Postdoctoral Scientist, Amazon Robotics Research and AI Development

Amazon

Reading, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,856 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon is looking for a talented Postdoctoral Scientist to join the Fleet Science team at Amazon Robotics for a one-year, full-time research position with an optional extension for a second year. This Postdoctoral Scientist will advance AI-driven optimization of operations workflows for robotic fulfillment at scale. Research areas include automated optimization formulation that enables non-expert users to formulate, solve, and interpret complex optimization problems through natural language, intelligent solver configuration that adapts to problem structure for significant performance gains, and fleet-level AI for dynamic task allocation methods that coordinate decisions across large robot fleets in real time. The postdoc will have the opportunity to develop scalable solutions that democratize and accelerate optimization workflows for the world's largest robotic fulfillment network.
At Amazon, we experiment and innovate relentlessly. Science is core in our offering to shoppers, advertisers and customers. Our scientists apply machine learning, optimization, and probabilistic modeling at scale to enhance customer experience, help advertisers reach relevant audiences, and support brand building. We are seeking talented scientists to invent cutting-edge techniques in a variety of areas and innovate on behalf of shoppers, advertisers, and customers.
Key job responsibilities
In this role you will:
- Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon's vibrant and diverse global science community.
- Publish your innovation in top-tier academic venues and hone your presentation skills.
- Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
A day in the life
On a typical day in this role, you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will lead your AI-based optimization research through the full life cycle, from design and implementation to evaluation and analysis. Publication of findings in top-tier academic venues is expected.
About the team
The Fleet Science team at Amazon Robotics is a multi-disciplinary science team that includes scientists with backgrounds in planning and scheduling, optimization, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-world robotic warehouses, including: (1) Planning and coordinating the paths of thousands of robots (2) Dynamic allocation and scheduling of tasks to thousands of robots (3) Learning how to adapt system behavior to varying operating conditions and (4) Co-design of robotic logistics processes and the algorithms to optimize them.
BASIC QUALIFICATIONS
* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
* Experience in data science and quantitative research
* Proficiency in technologies relevant to the subfield
PREFERRED QUALIFICATIONS
* Ability to independently deliver results in a fast-paced environment
* Publications at top-tier, peer-reviewed conferences and/or journals
* Exceptional verbal and written communication skills
* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
* Required application materials:
CV, which lists all peer-reviewed publications,
Research statement that outlines your research achievements and future research interests, and
A journal article or conference paper that demonstrates your domain expertise.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, MA, N.Reading - 142,800.00 - 193,200.00 USD annually

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US