Clinical Genomics Data Architect for Cancer Care

Flatiron Health; North Carolina; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible work hours

401(k) contribution

Parental benefits and policies

Job summary

Flatiron Health is seeking a biomedical informatician specializing in clinical genomics to join our Health Informatics team and advance genomic data processing for Oncology products. You will design, build, and grow our genomic data platform to receive, normalize, and manage laboratory results across platforms, while upholding data integrity.

You will collaborate with engineers, clinicians, and product teams to encode data for interoperability, apply genomics standards, and drive data model

Qualifications

• Advanced degree in bioinformatics or related field.
• Strong experience with genomic standards and formats (VCF, HGVS, HGNC).
• Experience communicating complex genomic information to non-scientists.
• Proven ability to collaborate across cross-functional teams.

Responsibilities

• Design, build and grow our clinical genomic data platform.
• Normalize and manage genetic test results from labs.
• Promote best practices across Flatiron Health's Health Informatics products.
• Drive the development of data models powering oncology products.
• Encode healthcare data to ensure interoperability.

Skills

Genomic data analysis

Cross-functional collaboration

Data modeling

Clinical informatics

Education

Master's or PhD in bioinformatics/biomedical informatics or related

Tools

SQL

Cloud data warehouse

FHIR/HL7 interoper

Job description

Flatiron Health is seeking a biomedical informatician specializing in clinical genomics to join our Health Informatics team and advance genomic data processing for Oncology products. You will design, build, and grow our genomic data platform to receive, normalize, and manage laboratory results across platforms, while upholding data integrity.

You will collaborate with engineers, clinicians, and product teams to encode data for interoperability, apply genomics standards, and drive data model