Machine Learning Biomedical Internship Jobs in Ridgewood, NJ

Job Description
Department: Psychiatry
Physical work location: 1255 Fifth Avenue, Suite C1 New York, NY 10029
Name PI or Supervisor: Dr. Sophia Frangou
Web link to Lab: n/a
Web link to Department: https://icahn.mssm.edu/about/departments-offices/psychiatry
Responsibilities
Details of Research Project:
CentileBrain is a neuroinformatics project that develops normative models and centile-based benchmarks for brain measures across the lifespan. The project integrates large-scale neuroimaging datasets, advanced statistical modelling, machine learning and reproducible computational workflows to support individual-level and group-level interpretation of brain structure and connectivity
Technical Duties: (include any protocols)
The post-doctoral fellow is expected to perform the following tasks:

• Work with large multi-site neuroimaging datasets.
• Follow institutional policies for data governance, privacy, human-subjects research and secure management of research data.
• Conduct preprocessing and quality control of neuroimaging data.
• Extract, harmonize and manage imaging-derived measures across datasets.
• Prepare and maintain data dictionaries and other project materials.
• Implement normative modelling, machine-learning and artificial intelligence pipelines.
• Conduct statistical analyses in relation to project aims.
• Prepare reproducible code, analytic workflows and clear technical documentation.
• Support collaborative analyses with internal and external research partners.
• Contribute to scientific manuscripts, conference presentations and grant reports.

Qualifications
Educational and other Requirements for the position:

• PhD or MD/PhD in artificial intelligence, data science, machine learning, biomedical engineering, computer science, computational neuroscience, neuroimaging, biostatistics or a closely related quantitative field.
• Strong formal training in artificial intelligence, data science and machine-learning methods.
• Demonstrated ability to apply advanced computational methods to large-scale biomedical, neuroscience or neuroimaging data.
• Strong quantitative and analytical skills, with the ability to develop, evaluate and interpret computational models.
• Ability to work independently and collaboratively within a multidisciplinary research environment involving neuroscience, psychiatry, engineering, data science and clinical research.
• Strong written and verbal communication skills, including the ability to communicate technical methods and findings to scientific collaborators.

Experience Required:
The ideal candidate will have

• Experience with machine-learning methods.
• Experience with statistical modelling.
• Strong scientific programming skills.
• Experience developing and using reproducible computational workflows.
• Experience with neuroimaging data analysis is strongly preferred.
• Hands-on experience with MRI-based neuroimaging analysis, preferably including structural MRI, diffusion MRI, brain morphometry, connectivity measures or related imaging-derived phenotypes.
• Experience with large-scale or multi-site datasets.
• Experience with data harmonisation, normative modelling, artificial intelligence, high-performance computing, Git-based version control and reproducible research practices is highly desirable.
• Experience with common neuroimaging tools and standards, such as FreeSurfer, FSL, ANTs, BIDS, fMRIPrep, Nipype or related platforms, would be advantageous.
• A prior publication record in neuroimaging, computational neuroscience, data science, machine learning, artificial intelligence or biomedical engineering is preferred.

Goals/Outcomes of the Research Project:
The main goal of the project is to advance CentileBrain as a robust, reproducible and scalable platform for normative modelling of brain measures. Expected outcomes include harmonised neuroimaging datasets, validated normative models, individual-level centile and deviation outputs, documented computational pipelines, peer-reviewed manuscripts, conference presentations and open or shareable research tools where appropriate.
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 $74,692.00 - $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.
, 859 - Psychiatry - 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.