Clinical Informatics Analyst - Institute for Genomic Health (On Site - New York, NY)

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.

• 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, Rx Norm, UMLS, CPT codes, etc.

• Familiarity with EPIC EHR systems (Clarity, Caboodle) is a strong advantage

• Strong communication and presentation skills.

• 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.