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Medical Ai Postdoc Jobs (NOW HIRING)

Medical: Multiple plan options. * Dental: Delta Dental or reimbursement account for flexible ... Responsibilities We are seeking a highly motivated and talented postdoctoral fellow to join our ...

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Medical Ai Postdoc information

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.

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 are popular job titles related to Medical Ai Postdoc jobs?

For Medical Ai Postdoc jobs, the most frequently searched job titles are:

Infographic showing various Medical Ai Postdoc job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Fellow-MSH-21015-024

Manhattan, NY • On-site

Mount Sinai Hospital
Hospitality Services • 10K+ employees

$72K - $80K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Mount Sinai rating

7.7

Company rating: 7.7 out of 10

Based on 298 frontline employees who took The Breakroom Quiz


Job description


Physician-Scientist Postdoctoral Research Fellow in Multimodal AI for Prostate Cancer Imaging (Icahn School of Medicine at Mount Sinai, New York, NY)
The Radiology AI & Informatics Group is seeking a Postdoctoral Physician-Scientist Research Fellow in the Department of Diagnostic, Molecular, and Interventional Radiology at the Icahn School of Medicine at Mount Sinai.
Responsibilities
This position will focus on multimodal AI for prostate cancer imaging. The research fellow will contribute to federally funded and institutionally supported research programs that develop and validate AI-driven tools to improve prostate cancer detection, characterization, and treatment guidance. This is an excellent opportunity to conduct innovative AI research powered by large-scale, real-world clinical data and to work directly with a team of AI scientists and world-renowned clinicians in radiology, pathology, and urology, gaining cross-disciplinary expertise that accelerates translational AI research from bench to bedside.
The clinically trained Physician-Scientist Research Fellow will serve as the clinical anchor of our AI research, working alongside computer scientists, engineers, biostatisticians, and radiologists to ensure that the datasets, models, and validation studies are clinically meaningful and positioned for real-world impact. Responsibilities include:
(1) curating and quality-controlling multimodal imaging and clinical datasets from PACS and the EHR; (2) defining study cohorts through chart review and clinical phenotyping and linking imaging to reference standards such as biopsy and whole-mount pathology; (3) developing annotation protocols/pipeline and establish ground truth; (4) designing clinical validation and reader studies with appropriate endpoints and analysis plans; (5) and coordinating and managing radiology fellows and attending radiologists in multi-reader studies. The candidate will also analyze diagnostic-performance results and lead manuscripts, abstracts, and grant applications.
Qualifications
The qualifications are: (1) an MD or MD/PhD; (2) a strong interest in medical AI and translational research; (3) excellent skills at the interface of clinical and technical teams; (4) radiology training, familiarity with prostate mpMRI and PI-RADS, and clinical-research methodology experience are preferred (programming is a plus but not required). To apply, candidates should send the following materials to Dr. Yan Zhuang (yan.zhuang@mssm.edu) with the subject line "Physician-Scientist Postdoc Fellow Application - FirstName LastName": (1) a CV; (2) a brief statement of interests; (3) the earliest start date; (4) a list of three references.
Compensation Statement
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72,500.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), IDE - Radiology BMEII - ISM, Icahn School of Medicine
About Us
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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