Neuropathologists Jobs (NOW HIRING)

Details of Research Project: 

We are seeking an innovative and highly motivated Research Scientist to join our interdisciplinary team working on cutting-edge projects to understand the pathogenesis and genetic underpinnings of Frontotemporal Dementia (FTD). The successful candidate will lead efforts leveraging artificial intelligence (AI) techniques, including machine learning and computer vision, to analyze whole slide images and correlate these findings with genetic and transcriptomic data. The goal of this research is to develop novel, robust biomarkers for Progressive Supranuclear Palsy (PSP) and other subtypes of FTD.

Technical Duties: (include any protocols)

Develop and apply machine learning and computer vision algorithms to analyze neuropathological whole slide images of brain tissue.

Integrate imaging data with genetic, proteomic, and clinical datasets to identify novel biomarkers associated with FTD and related neurodegenerative disorders.

Collaborate closely with clinicians, neuropathologists, geneticists, and bioinformatics teams to facilitate data integration and interpretation.

Prepare research manuscripts, progress reports, and contribute actively to grant applications.

Present findings at local, national, and international scientific meetings.

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 Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences.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.

Experience Required:

Prior research in computational biology

Goals/Outcomes of the Research Project: 

Robust AI-based classification model

Novel genetic and transcriptomic biomarkers

Integrated multi-modal biomarker panel

Peer-reviewed publications and dissemination

Educational and other Requirements for the position: 

PhD or equivalent degree in Neuroscience, Computational Biology, Bioinformatics, Computer Science, or a related field.

Demonstrated experience applying AI methods, particularly deep learning and computer vision, to biological or medical imaging data.

Proficiency in programming (e.g., Python, R), experience with data analysis and visualization tools.

Familiarity with neurodegenerative diseases, genetics/genomics, and neuropathology preferred but not required.

Strong communication, collaboration, and organizational skills.

Experience Required:

Prior research in computational biology

Goals/Outcomes of the Research Project: 

Robust AI-based classification model

Novel genetic and transcriptomic biomarkers

Integrated multi-modal biomarker panel

Peer-reviewed publications and dissemination

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 this 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), 847 - Pathology, Molecular&Cell Based Medicine - ISM, Icahn School of Medicine

Details of Research Project: 

We are seeking an innovative and highly motivated Research Scientist to join our interdisciplinary team working on cutting-edge projects to understand the pathogenesis and genetic underpinnings of Frontotemporal Dementia (FTD). The successful candidate will lead efforts leveraging artificial intelligence (AI) techniques, including machine learning and computer vision, to analyze whole slide images and correlate these findings with genetic and transcriptomic data. The goal of this research is to develop novel, robust biomarkers for Progressive Supranuclear Palsy (PSP) and other subtypes of FTD.

Technical Duties: (include any protocols)

Develop and apply machine learning and computer vision algorithms to analyze neuropathological whole slide images of brain tissue.

Integrate imaging data with genetic, proteomic, and clinical datasets to identify novel biomarkers associated with FTD and related neurodegenerative disorders.

Collaborate closely with clinicians, neuropathologists, geneticists, and bioinformatics teams to facilitate data integration and interpretation.

Prepare research manuscripts, progress reports, and contribute actively to grant applications.

Present findings at local, national, and international scientific meetings.

Educational and other Requirements for the position: 

PhD or equivalent degree in Neuroscience, Computational Biology, Bioinformatics, Computer Science, or a related field.

Demonstrated experience applying AI methods, particularly deep learning and computer vision, to biological or medical imaging data.

Proficiency in programming (e.g., Python, R), experience with data analysis and visualization tools.

Familiarity with neurodegenerative diseases, genetics/genomics, and neuropathology preferred but not required.

Strong communication, collaboration, and organizational skills.