Senior Biomedical Data Architect - Hybrid Boston

PathAI; United States; Remote; USD 109,000 - 167,000; Full time

Job summary

PathAI, Inc. in Boston, MA is seeking a Staff Biomedical Data Manager to lead data governance and scale a multi-modal histopathology data platform. You will define standards, build scalable data models, and partner with leadership to advance clinical programs.

The role requires a Bachelor's in a biomedical field and 3+ years in biomedical data management with Python/R, Spark, and ETL pipelines, plus CI/CD with GitHub Actions and Docker. A Master’s degree is acceptable with 2 years of experience.

Qualifications

• Requires a Bachelor's degree and 3 years in biomedical data management with data architecture, curation, and communication.
• Two years in each of Python/R data wrangling, production-grade ETL/ELT pipelines, data governance and DI/DS workflows.
• Experience with data harmonization, regulatory data management, and WSI or digital pathology workflows.

Responsibilities

• Define governance for clinical/translational datasets and scale data platforms.
• Own the vision for platform capabilities and multi-modal histopathology data hosting.
• Serve as technical authority for digital pathology data and complex integrations.
• Architect end-to-end data management and quality strategy for large scale programs.
• Drive the data platform roadmap with senior leadership to enable scalable processes.

Skills

Python

R

Spark

Airflow

Databricks

GitHub Actions

Docker

ETL/ELT pipelines

Education

Bachelor's degree in Biomedical Informatics/Biomedical Engineering/Public Health/Epidemiology/Biostatistics or related field

Master's degree accepted with 2 years of experience

Job description

PathAI, Inc. in Boston, MA is seeking a Staff Biomedical Data Manager to lead data governance and scale a multi-modal histopathology data platform. You will define standards, build scalable data models, and partner with leadership to advance clinical programs.

The role requires a Bachelor's in a biomedical field and 3+ years in biomedical data management with Python/R, Spark, and ETL pipelines, plus CI/CD with GitHub Actions and Docker. A Master’s degree is acceptable with 2 years of experience.