Internship Health Informatics Analyst Jobs in New York

Join the Institute for Genomic Health (IGH) at the Icahn School of Medicine at Mount Sinai and play a critical role in advancing precision medicine at one of the nation's leading academic health systems. As a Clinical Informatics Analyst, you will help enable cutting-edge research in genomic medicine that bridges discovery and patient care. This is a highly collaborative role at the intersection of data science, genomics, and clinical research.

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 Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences.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

• BA or BS degree required; MS or doctoral degree in Clinical Informatics preferred.
• 5 years of experience in a related field.
• Significant expertise with programming and statistical software experience in R, Python, SQL 
• Familiarity with modern database design and operation 
• Familiarity with clinical informatics frameworks and Electronic Health/Medical Record data types and ontologies, including ICD-9/10, LOINC, RxNorm, UMLS, CPT codes, etc. 
• Familiarity with EPIC EHR systems (Clarity, Caboodle) is a strong advantage 
• Strong communication and presentation skills.

Please note this is an onsite position at the Icahn School of Medicine at Mount Sinai in New York, NY.

• BA or BS degree required; MS or doctoral degree in Clinical Informatics preferred.
• 5 years of experience in a related field.
• Significant expertise with programming and statistical software experience in R, Python, SQL 
• Familiarity with modern database design and operation 
• Familiarity with clinical informatics frameworks and Electronic Health/Medical Record data types and ontologies, including ICD-9/10, LOINC, RxNorm, UMLS, CPT codes, etc. 
• Familiarity with EPIC EHR systems (Clarity, Caboodle) is a strong advantage 
• Strong communication and presentation skills.

Please note this is an onsite position at the Icahn School of Medicine at Mount Sinai in New York, NY.

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 $87,692.00 - $131,538.00 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.

Non-Bargaining Unit, J08 - Genomic Health Institute - ISM, Icahn School of Medicine

• Enable high-impact research: Partner with students and investigators to access, interpret, and analyze large-scale clinical and genomic datasets, accelerating translational discoveries.
• Build and optimize data infrastructure: Maintain and enhance centralized data resources, documentation, and metadata systems to ensure efficient, scalable, and reproducible research.
• Drive advanced phenotyping: Develop and implement robust phenotyping algorithms using validated frameworks; harmonize clinical ontologies to support cross-study analyses.
• Support genomic analyses: Contribute to genetic data quality control and preparation for downstream analyses, including genome-wide association studies (GWAS).
• Lead and coordinate collaborations: Serve as a key liaison across multidisciplinary teams.
• Shape research strategy and execution: Contribute to study design, data extraction, statistical analysis, and manuscript development for high-impact publications.
• Strengthen operational excellence: Support onboarding, contracting, and compliance processes; lead or facilitate project meetings; and develop standard operating procedures to streamline workflows.
• Innovate with emerging technologies: Evaluate and integrate cutting-edge tools, including AI/LLM-based approaches, to enhance phenotyping and data analysis capabilities.
• Amplify scientific impact: Contribute to grant proposals, presentations, and dissemination of findings at institutional and national levels.