Clinical Informatics Analyst - Institute for Genomic Health

Overview 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. Responsibilities 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. Qualifications 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. Equal Opportunity 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. Compensation 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 - $131,538 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. #J-18808-Ljbffr