Clinical Data Analyst II — Medical Informatics Specialist

NYU Langone Health; New York (NY); On-site; USD 70,000 - 106,000; Full time

Benefits offered by this job

Comprehensive benefits

Wellness program

Salary transparency compliance

Job summary

NYU Langone Health invites applications for an Analyst II - DataCore to support the design, curation, harmonization, and analysis of clinical data assets for observational research and evidence generation. The role emphasizes Epic data, OMOP, and ontology-based harmonization within MCIT.

The ideal candidate combines Python, R, and SQL skills with experience in data quality, metadata management, and cohort-based studies using heterogeneous real-world sources. AI tooling experience is valued.

Qualifications

• Bachelor's degree in Biomedical Informatics, Health Informatics, Data Science, Biostatistics, Computer Science, Public Health, Epidemiology, or related field required; Masters preferred.
• 3+ years of relevant experience with clinical, observational, or research data in health systems, academia, payer, or life sciences.
• Experience with Epic or comparable EHR data ecosystems, clinical data warehouses, and research-oriented data extraction and curation.
• Experience using Python, R, SQL for healthcare data management and reproducible analysis.

Responsibilities

• Build and maintain research-ready clinical datasets for observational studies and real-world evidence generation.
• Extract, transform, and curate data from Epic and related sources (structured data, tumor registry, pathology, labs, medications, notes).
• Develop computable phenotypes, cohort logic, and executable data queries for observational analyses.
• Map data to OMOP and OHDSI vocabularies and manage metadata and provenance for reproducible research.

Skills

Python

R

SQL

ETL

Cohort analysis

Education

Bachelor's in Biomedical Informatics / related field

Master's preferred

Tools

Epic

OHDSI

SNOMED CT

ICD-10-CM

LOINC

RxNorm

Job description

NYU Langone Health invites applications for an Analyst II - DataCore to support the design, curation, harmonization, and analysis of clinical data assets for observational research and evidence generation. The role emphasizes Epic data, OMOP, and ontology-based harmonization within MCIT.

The ideal candidate combines Python, R, and SQL skills with experience in data quality, metadata management, and cohort-based studies using heterogeneous real-world sources. AI tooling experience is valued.