Data Harmonization Analyst

NYU Langone Health; New York (NY); On-site; USD 84,577 - 126,991; Full time

Benefits offered by this job

Comprehensive benefits package

Generous time-off

Holistic wellness program

Job summary

NYU Langone Health is seeking a Data Science Analyst/Engineer to join their team in New York City. This role involves analyzing and developing specifications for NAMs data structures. The ideal candidate will have a Master's in a quantitative discipline and expertise in Python or R.

The position includes a comprehensive benefits package focusing on well-being and career development. Salary ranges from $84,577.93 to $126,991.52 annually. NYU Langone Health is committed to inclusion and equal opportunity.

Qualifications

• Masters degree in a quantitative field and 3 years of experience in machine learning/data science.
• Proficiency in at least one programming language (Python, R) and machine learning tools.
• Excellent written and oral communication skills.

Responsibilities

• Analyze source NAMs datasets to characterize data structure and quality.
• Develop source-to-CDM mapping specifications, including transformation rules.
• Author functional ETL requirements to guide pipeline development.

Skills

Proficiency in Python

Machine learning tools (scikit-learn, R)

Predictive modeling knowledge

Big data computing models

Databases knowledge (SQL, NoSQL)

Software engineering principles

Education

Masters degree in a quantitative discipline

Tools

Hadoop

Apache Spark

Python

R

Job description

Position Summary

We have an exciting opportunity to join our team as a Data Science Analyst/Engineer.

As part of the Complement-ARIE program, the NYU-Sage New Approach Methodologies (NAMs) Data Hub and Coordinating Center will create a controlled access platform for researchers to share and analyze data resulting from NAMs approaches. The program will build tools to standardize and harmonize NAMs data, store it securely, and provide researchers with powerful analytical and visualization tools. The successful candidate will support implementation of integrated standards tailored for NAMs data. This position focuses on analyzing source data structures, developing source-to-target mapping specifications, authoring ETL functional requirements and data quality assurance frameworks, and ensuring that harmonization workflows are well-defined, reproducible, and aligned with FAIR data principles. The role is analytical and specification-oriented: the Data Analyst designs and documents the logic that guides implementation, rather than executing engineering tasks directly.

Job Responsibilities

• Analyze source NAMs datasets (such as transcriptomics, proteomics, microscopy, imaging, electrophysiology, etc.) to characterize data structure, content, and quality prior to harmonization.
• Develop detailed source-to-CDM mapping specifications, including transformation rules, value set crosswalks, and handling of edge cases.
• Author functional ETL requirements and data flow documentation to guide pipeline development by engineering staff.
• Design data quality assurance (QA) frameworks and acceptance criteria for NAMs datasets, including completeness, conformance, and plausibility checks.
• Evaluate and document terminology alignment across existing Vocabularies, Metadata requirements, and source ontologies.
• Conduct mapping gap analyses and propose remediation strategies for non-standard or missing terminology coverage.
• Collaborate with the Lead Metadata and Standards Specialist to ensure mapping outputs align with metadata standards.
• Produce and maintain clear analytical documentation: data dictionaries, mapping catalogs, QA specification sheets, and implementation guide.
• Support onboarding of new data contributors by reviewing their data structures and advising on harmonization pathways.
• Participate in data quality review cycles, analyze QA outputs, and document findings and recommended remediation steps.

Minimum Qualifications

• Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Statistics, Mathematics or similar field) and 3 years of experience in machine learning / data science.
• Proficiency in at least one programming language (Python, R) and machine learning tools (scikit‑learn, R).
• Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets.
• Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
• Knowledge of databases (Relational / SQL, NoSQL MongoDB etc.).
• Good grasp of software engineering principles and experience in integrating modern software architectures.
• Knowledge and some experience in operational aspects of software development and deployment, including automation, testing, virtualization and container technology.
• Knowledge of clinical and operational aspects of healthcare delivery.
• Excellent written and oral communication skills for a variety of audiences.

Preferred Qualifications

• Experience with OMOP Common Data Model or other biomedical research CDMs.
• Experience with programming languages (Python, JAVA, R).
• Familiarity with healthcare or life sciences data standards (UMLS, SNOMED‑CT, LOINC), or sequencing data standards (FASTQ, BAM, VCF), etc.
• Knowledge of FAIR data principles and metadata standards.
• Familiarity with NAMs methodologies or preclinical research data.
• Experience with federated data networks or distributed query systems.
• Familiarity with AI/ML tools applied to terminology matching, automated mapping recommendations, or data quality assessment.

Qualified candidates must be able to effectively communicate with all levels of the organization.

NYU Grossman School of Medicine provides its staff with a comprehensive benefits and wellness package that supports career development, family life, and personal health through financial security benefits, generous time‑off, and employee resource groups. Employees have access to a holistic wellness program focusing on physical, mental, nutritional, sleep, social, financial, and preventive care.

NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.

View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.93 – $126,991.52 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here.