Senior Bioinformatics Architect: Precision Oncology

NYU Langone Hospitals; New York (NY); On-site; USD 85,000 - 135,000; Full time

Job summary

NYU Langone Health is seeking a Sr. Bioinformatics Developer to design end-to-end genomic data integration pipelines, harmonizing multi-vendor data and loading into cBioPortal, OMOP Genomics Extensions, and analytics platforms.

The role blends software engineering with cancer genomics expertise; you will implement scalable pipelines, validate data, and collaborate with engineering teams to deploy in production.

Qualifications

• Master's degree in Bioinformatics, Computational Biology, Computer Science, or related field.
• PhD preferred.
• 5+ years of hands-on experience developing bioinformatics pipelines.
• Experience with cBioPortal data integration, loading, and validation.
• Experience with clinical cancer genomics data from vendors.
• Proficiency in Python for pipeline development.

Responsibilities

• Harmonize and standardize multi-vendor molecular testing data.
• Build automated data transformation and loading pipelines for cBioPortal, OMOP-CDM, and Tableau.
• Design scalable, modular data pipelines with validation and QC.
• Collaborate with NYU engineering teams to deploy in production.
• Support AI/ML risk assessment models with integrated data.
• Translate business requirements into technical specifications.

Skills

Python programming

Genomics data standards

Data integration

Software engineering

Communication

Education

Master's degree in Bioinformatics, Computational Biology, Computer Science

PhD preferred

Tools

Git/GitHub

SQL (MySQL, PostgreSQL)

Docker

Kubernetes

Nextflow/Snakemake/Airflow

Tableau

Job description

NYU Langone Health is seeking a Sr. Bioinformatics Developer to design end-to-end genomic data integration pipelines, harmonizing multi-vendor data and loading into cBioPortal, OMOP Genomics Extensions, and analytics platforms.

The role blends software engineering with cancer genomics expertise; you will implement scalable pipelines, validate data, and collaborate with engineering teams to deploy in production.